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Edwin R. Hancock

Edwin Robert Hancock

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2025
[j227]
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Zhenyu Yang, Ge Zhang, Jia Wu, Jian Yang, Quan Z. Sheng, Shan Xue, Chuan Zhou, Charu Aggarwal, Hao Peng, Wenbin Hu, Edwin R. Hancock, Pietro Liò:
State of the Art and Potentialities of Graph-level Learning. ACM Comput. Surv. 57(2): 28:1-28:40 (2025)
[j226]
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Ming Li, Jiandong Shi, Lu Bai, Changqin Huang, Yunliang Jiang, Ke Lu, Shijin Wang, Edwin R. Hancock:
FrameERC: Framelet Transform Based Multimodal Graph Neural Networks for Emotion Recognition in Conversation. Pattern Recognit. 161: 111340 (2025)
[j225]
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Jiawei Zhang, Jiahe Li, Meiying Gu, Xiaohan Yu, Jin Zheng, Xiao Bai, Edwin R. Hancock:
ALStereo: Active learning for stereo matching. Pattern Recognit. 164: 111480 (2025)
[j224]
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Lu Bai, Lixin Cui, Ming Li, Peng Ren, Yue Wang, Lichi Zhang, Philip S. Yu, Edwin R. Hancock:
AEGK: Aligned Entropic Graph Kernels Through Continuous-Time Quantum Walks. IEEE Trans. Knowl. Data Eng. 37(3): 1064-1078 (2025)
[c610]
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Feifei Qian, Lu Bai, Lixin Cui, Ming Li, Ziyu Lyu, Hangyuan Du, Edwin R. Hancock:
DHAKR: Learning Deep Hierarchical Attention-Based Kernelized Representations for Graph Classification. AAAI 2025: 19995-20003
2024
[j223]
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Jiawei Zhang, Lei Huang, Xiao Bai, Jin Zheng, Lin Gu, Edwin R. Hancock:
Exploring the Usage of Pre-trained Features for Stereo Matching. Int. J. Comput. Vis. 132(10): 4305-4326 (2024)
[j222]
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Xiao Bai, Pengcheng Zhang, Xiaohan Yu, Jin Zheng, Edwin R. Hancock, Jun Zhou, Lin Gu:
Learning From Human Attention for Attribute-Assisted Visual Recognition. IEEE Trans. Pattern Anal. Mach. Intell. 46(12): 11152-11167 (2024)
[j221]
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Lixin Cui, Ming Li, Lu Bai, Yue Wang, Jing Li, Yanchao Wang, Zhao Li, Yunwen Chen, Edwin R. Hancock:
QBER: Quantum-based Entropic Representations for un-attributed graphs. Pattern Recognit. 145: 109877 (2024)
[j220]
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Yue Wang, Yao Wan, Lu Bai, Lixin Cui, Zhuo Xu, Ming Li, Philip S. Yu, Edwin R. Hancock:
Collaborative Knowledge Graph Fusion by Exploiting the Open Corpus. IEEE Trans. Knowl. Data Eng. 36(2): 475-489 (2024)
[j219]
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Lu Bai, Lixin Cui, Yue Wang, Ming Li, Jing Li, Philip S. Yu, Edwin R. Hancock:
HAQJSK: Hierarchical-Aligned Quantum Jensen-Shannon Kernels for Graph Classification. IEEE Trans. Knowl. Data Eng. 36(11): 6370-6384 (2024)
[j218]
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Lixin Cui, Lu Bai, Xiao Bai, Yue Wang, Edwin R. Hancock:
Learning Aligned Vertex Convolutional Networks for Graph Classification. IEEE Trans. Neural Networks Learn. Syst. 35(4): 4423-4437 (2024)
[j217]
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Xing Ai, Chengyu Sun, Zhihong Zhang, Edwin R. Hancock:
Two-Level Graph Neural Network. IEEE Trans. Neural Networks Learn. Syst. 35(4): 4593-4606 (2024)
[c609]
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Lu Bai, Lixin Cui, Ming Li, Yue Wang, Edwin R. Hancock:
QBMK: Quantum-based Matching Kernels for Un-attributed Graphs. ICML 2024
[c608]
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Lu Bai, Zhuo Xu, Lixin Cui, Ming Li, Yue Wang, Edwin R. Hancock:
HC-GAE: The Hierarchical Cluster-based Graph Auto-Encoder for Graph Representation Learning. NeurIPS 2024
[c607]
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  - conf/ssspr/BicciatoHWT24
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Alessandro Bicciato, Edwin R. Hancock, Richard C. Wilson, Andrea Torsello:
Mixture of Variational Graph Autoencoders. S+SSPR 2024: 82-91
[e21]
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  - conf/iciap/2023-w1
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Gian Luca Foresti, Andrea Fusiello, Edwin R. Hancock:
Image Analysis and Processing - ICIAP 2023 Workshops - Udine, Italy, September 11-15, 2023, Proceedings, Part I. Lecture Notes in Computer Science 14365, Springer 2024, ISBN 978-3-031-51022-9 [contents]
[e20]
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Gian Luca Foresti, Andrea Fusiello, Edwin R. Hancock:
Image Analysis and Processing - ICIAP 2023 Workshops - Udine, Italy, September 11-15, 2023, Proceedings, Part II. Lecture Notes in Computer Science 14366, Springer 2024, ISBN 978-3-031-51025-0 [contents]
[i34]
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  - journals/corr/abs-2403-16130
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Feifei Qian, Lixin Cui, Yue Wang, Hangyuan Du, Lu Bai, Edwin R. Hancock:
AKBR: Learning Adaptive Kernel-based Representations for Graph Classification. CoRR abs/2403.16130 (2024)
[i33]
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  - journals/corr/abs-2403-16133
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Zhuo Xu, Lixin Cui, Yue Wang, Hangyuan Du, Lu Bai, Edwin R. Hancock:
SSHPool: The Separated Subgraph-based Hierarchical Pooling. CoRR abs/2403.16133 (2024)
[i32]
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  - journals/corr/abs-2403-16227
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Jing Li, Lu Bai, Bin Yang, Chang Li, Lingfei Ma, Lixin Cui, Edwin R. Hancock:
Dual-modal Prior Semantic Guided Infrared and Visible Image Fusion for Intelligent Transportation System. CoRR abs/2403.16227 (2024)
[i31]
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  - journals/corr/abs-2405-10218
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Zhehan Zhao, Lu Bai, Lixin Cui, Ming Li, Yue Wang, Lixiang Xu, Edwin R. Hancock:
ENADPool: The Edge-Node Attention-based Differentiable Pooling for Graph Neural Networks. CoRR abs/2405.10218 (2024)
[i30]
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  - journals/corr/abs-2405-14742
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Zhuo Xu, Lu Bai, Lixin Cui, Ming Li, Yue Wang, Edwin R. Hancock:
HC-GAE: The Hierarchical Cluster-based Graph Auto-Encoder for Graph Representation Learning. CoRR abs/2405.14742 (2024)
2023
[j216]
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  - journals/compnet/WangH23
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Jianjia Wang, Edwin R. Hancock:
Statistical structural inference from edge weights using a mixture of gamma distributions. J. Complex Networks 11(5) (2023)
[j215]
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  - journals/ml/ZhouLZBGZYHZH23
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Lei Zhou, Yang Liu, Pengcheng Zhang, Xiao Bai, Lin Gu, Jun Zhou, Yazhou Yao, Tatsuya Harada, Jin Zheng, Edwin R. Hancock:
Information bottleneck and selective noise supervision for zero-shot learning. Mach. Learn. 112(7): 2239-2261 (2023)
[j214]
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Dongdong Chen, Yuxing Dai, Lichi Zhang, Zhihong Zhang, Edwin R. Hancock:
Position-aware and structure embedding networks for deep graph matching. Pattern Recognit. 136: 109242 (2023)
[j213]
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Lei Zhou, Yang Liu, Xiao Bai, Na Li, Xiaohan Yu, Jun Zhou, Edwin R. Hancock:
Attribute subspaces for zero-shot learning. Pattern Recognit. 144: 109869 (2023)
[j212]
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  - journals/taslp/XuSCLLCZH23
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Xuexin Xu, Liang Shi, Xunquan Chen, Pingyuan Lin, Jie Lian, Jinhui Chen, Zhihong Zhang, Edwin R. Hancock:
Any-to-Any Voice Conversion With Multi-Layer Speaker Adaptation and Content Supervision. IEEE ACM Trans. Audio Speech Lang. Process. 31: 3431-3445 (2023)
[j211]
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  - journals/tcyb/Ma0BWLTH23
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Yuqing Ma, Xianglong Liu, Shihao Bai, Lei Wang, Aishan Liu, Dacheng Tao, Edwin R. Hancock:
Regionwise Generative Adversarial Image Inpainting for Large Missing Areas. IEEE Trans. Cybern. 53(8): 5226-5239 (2023)
[j210]
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Lu Bai, Yuhang Jiao, Lixin Cui, Luca Rossi, Yue Wang, Philip S. Yu, Edwin R. Hancock:
Learning Graph Convolutional Networks Based on Quantum Vertex Information Propagation. IEEE Trans. Knowl. Data Eng. 35(2): 1747-1760 (2023)
[j209]
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  - journals/tmm/ChenXCZTH23
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Xunquan Chen, Xuexin Xu, Jinhui Chen, Zhihong Zhang, Tetsuya Takiguchi, Edwin R. Hancock:
Speaker-Independent Emotional Voice Conversion via Disentangled Representations. IEEE Trans. Multim. 25: 7480-7493 (2023)
[j208]
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  - journals/tnn/ZhangCBWH23
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Zhihong Zhang, Dongdong Chen, Lu Bai, Jianjia Wang, Edwin R. Hancock:
Graph Motif Entropy for Understanding Time-Evolving Networks. IEEE Trans. Neural Networks Learn. Syst. 34(4): 1651-1665 (2023)
[j207]
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Lu Bai, Lixin Cui, Zhihong Zhang, Lixiang Xu, Yue Wang, Edwin R. Hancock:
Entropic Dynamic Time Warping Kernels for Co-Evolving Financial Time Series Analysis. IEEE Trans. Neural Networks Learn. Syst. 34(4): 1808-1822 (2023)
[c606]
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  - conf/gbrpr/YeCRWXBH23
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Rongji Ye, Lixin Cui, Luca Rossi, Yue Wang, Zhuo Xu, Lu Bai, Edwin R. Hancock:
C2N-ABDP: Cluster-to-Node Attention-Based Differentiable Pooling. GbRPR 2023: 70-80
[c605]
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Qiyao Huang, Yingyue Zhang, Zhihong Zhang, Edwin R. Hancock:
ESSEN: Improving Evolution State Estimation for Temporal Networks using Von Neumann Entropy. NeurIPS 2023
[e19]
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  - conf/iciap/2023-1
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Gian Luca Foresti, Andrea Fusiello, Edwin R. Hancock:
Image Analysis and Processing - ICIAP 2023 - 22nd International Conference, ICIAP 2023, Udine, Italy, September 11-15, 2023, Proceedings, Part I. Lecture Notes in Computer Science 14233, Springer 2023, ISBN 978-3-031-43147-0 [contents]
[e18]
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  - conf/iciap/2023-2
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Gian Luca Foresti, Andrea Fusiello, Edwin R. Hancock:
Image Analysis and Processing - ICIAP 2023 - 22nd International Conference, ICIAP 2023, Udine, Italy, September 11-15, 2023, Proceedings, Part II. Lecture Notes in Computer Science 14234, Springer 2023, ISBN 978-3-031-43152-4 [contents]
[i29]
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  - journals/corr/abs-2301-05860
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Zhenyu Yang, Ge Zhang, Jia Wu, Jian Yang, Quan Z. Sheng, Shan Xue, Chuan Zhou, Charu C. Aggarwal, Hao Peng, Wenbin Hu, Edwin R. Hancock, Pietro Liò:
A Comprehensive Survey of Graph-level Learning. CoRR abs/2301.05860 (2023)
[i28]
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  - journals/corr/abs-2302-00892
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Shuo Yu, Ciyuan Peng, Yingbo Wang, Ahsan Shehzad, Feng Xia, Edwin R. Hancock:
Quantum Graph Learning: Frontiers and Outlook. CoRR abs/2302.00892 (2023)
[i27]
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  - journals/corr/abs-2303-03396
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Lixin Cui, Ming Li, Yue Wang, Lu Bai, Edwin R. Hancock:
AERK: Aligned Entropic Reproducing Kernels through Continuous-time Quantum Walks. CoRR abs/2303.03396 (2023)
[i26]
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  - journals/corr/abs-2303-13543
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Chengyu Sun, Xing Ai, Zhihong Zhang, Edwin R. Hancock:
Labeled Subgraph Entropy Kernel. CoRR abs/2303.13543 (2023)
[i25]
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  - journals/corr/abs-2306-16976
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Ahmed Begga, Francisco Escolano, Miguel Angel Lozano, Edwin R. Hancock:
Diffusion-Jump GNNs: Homophiliation via Learnable Metric Filters. CoRR abs/2306.16976 (2023)
[i24]
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  - journals/corr/abs-2311-00291
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Jing Li, Lu Bai, Bin Yang, Chang Li, Lingfei Ma, Edwin R. Hancock:
Graph Representation Learning for Infrared and Visible Image Fusion. CoRR abs/2311.00291 (2023)
2022
[j206]
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  - journals/lgrs/SmithLCHDR22
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William A. P. Smith, Paulina Lewinska, M. A. Cooper, Edwin R. Hancock, Julian A. Dowdeswell, David M. Rippin:
Structure-From-Motion With Varying Principal Point. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022)
[j205]
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Lu Bai, Lixin Cui, Yuhang Jiao, Luca Rossi, Edwin R. Hancock:
Learning Backtrackless Aligned-Spatial Graph Convolutional Networks for Graph Classification. IEEE Trans. Pattern Anal. Mach. Intell. 44(2): 783-798 (2022)
[j204]
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Silvia Tozza, Dizhong Zhu, William A. P. Smith, Ravi Ramamoorthi, Edwin R. Hancock:
Uncalibrated, Two Source Photo-Polarimetric Stereo. IEEE Trans. Pattern Anal. Mach. Intell. 44(9): 5747-5760 (2022)
[j203]
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Chen Wang, Xiang Wang, Jiawei Zhang, Liang Zhang, Xiao Bai, Xin Ning, Jun Zhou, Edwin R. Hancock:
Uncertainty estimation for stereo matching based on evidential deep learning. Pattern Recognit. 124: 108498 (2022)
[j202]
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Xingchen Guo, Xuexin Xu, Xunquan Chen, Jinhui Chen, Rong Jia, Zhihong Zhang, Tetsuya Takiguchi, Edwin R. Hancock:
Direction of arrival estimation for indoor environments based on acoustic composition model with a single microphone. Pattern Recognit. 129: 108715 (2022)
[c604]
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  - conf/cvpr/ZhangW00HC00HH22
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Jiawei Zhang, Xiang Wang, Xiao Bai, Chen Wang, Lei Huang, Yimin Chen, Lin Gu, Jun Zhou, Tatsuya Harada, Edwin R. Hancock:
Revisiting Domain Generalized Stereo Matching Networks from a Feature Consistency Perspective. CVPR 2022: 12991-13001
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Yang Liu, Lei Zhou, Pengcheng Zhang, Xiao Bai, Lin Gu, Xiaohan Yu, Jun Zhou, Edwin R. Hancock:
Where to Focus: Investigating Hierarchical Attention Relationship for Fine-Grained Visual Classification. ECCV (24) 2022: 57-73
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Lu Bai, Yuhang Jiao, Lixin Cui, Luca Rossi, Yue Wang, Philip S. Yu, Edwin R. Hancock:
Learning Graph Convolutional Networks based on Quantum Vertex Information Propagation (Extended Abstract). ICDE 2022: 3132-3133
[c601]
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Lu Bai, Lixin Cui, Edwin R. Hancock:
A Hierarchical Transitive-Aligned Graph Kernel for Un-attributed Graphs. ICML 2022: 1327-1336
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Jianjia Wang, Xin Zhao, Chong Wu, Edwin R. Hancock:
Inferring Edges from Weights in the Debye Model. ICPR 2022: 3845-3850
[i23]
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  - journals/corr/abs-2201-01190
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Xing Ai, Chengyu Sun, Zhihong Zhang, Edwin R. Hancock:
Two-level Graph Neural Network. CoRR abs/2201.01190 (2022)
[i22]
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  - journals/corr/abs-2201-05158
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Xing Ai, Zhihong Zhang, Luzhe Sun, Junchi Yan, Edwin R. Hancock:
Decompositional Quantum Graph Neural Network. CoRR abs/2201.05158 (2022)
[i21]
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  - journals/corr/abs-2202-09506
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Yehui Tang, Junchi Yan, Edwin R. Hancock:
From Quantum Graph Computing to Quantum Graph Learning: A Survey. CoRR abs/2202.09506 (2022)
[i20]
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  - journals/corr/abs-2203-10887
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Jiawei Zhang, Xiang Wang, Xiao Bai, Chen Wang, Lei Huang, Yimin Chen, Lin Gu, Jun Zhou, Tatsuya Harada, Edwin R. Hancock:
Revisiting Domain Generalized Stereo Matching Networks from a Feature Consistency Perspective. CoRR abs/2203.10887 (2022)
[i19]
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  - journals/corr/abs-2206-07472
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Yue Wang, Yao Wan, Lu Bai, Lixin Cui, Zhuo Xu, Ming Li, Philip S. Yu, Edwin R. Hancock:
Collaborative Knowledge Graph Fusion by Exploiting the Open Corpus. CoRR abs/2206.07472 (2022)
[i18]
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  - journals/corr/abs-2211-02904
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Lu Bai, Lixin Cui, Yue Wang, Ming Li, Edwin R. Hancock:
HAQJSK: Hierarchical-Aligned Quantum Jensen-Shannon Kernels for Graph Classification. CoRR abs/2211.02904 (2022)
[i17]
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  - journals/corr/abs-2212-05228
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Lu Bai, Lixin Cui, Edwin R. Hancock:
QESK: Quantum-based Entropic Subtree Kernels for Graph Classification. CoRR abs/2212.05228 (2022)
2021
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  - journals/cee/XuHHWXZ21
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Haixia Xu, Yunjia Huang, Edwin R. Hancock, Shuailong Wang, Qijun Xuan, Wei Zhou:
Pooling Attention-based Encoder-Decoder Network for semantic segmentation. Comput. Electr. Eng. 93: 107260 (2021)
[j200]
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Jianjia Wang, Xichen Wu, Mingrui Li, Hui Wu, Edwin R. Hancock:
Erratum: Wang, J., et al. Microcanonical and Canonical Ensembles for fMRI Brain Networks in Alzheimer's Disease. Entropy 2021, 23, 216. Entropy 23(4): 438 (2021)
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Lixin Cui, Lu Bai, Yanchao Wang, Xin Jin, Edwin R. Hancock:
Internet financing credit risk evaluation using multiple structural interacting elastic net feature selection. Pattern Recognit. 114: 107835 (2021)
[j198]
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Dongdong Chen, Xingchen Guo, Jianjia Wang, Jiatong Liu, Zhihong Zhang, Edwin R. Hancock:
Thermodynamic motif analysis for directed stock market networks. Pattern Recognit. 114: 107872 (2021)
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Jinhui Chen, Ryoichi Takashima, Xingchen Guo, Zhihong Zhang, Xuexin Xu, Tetsuya Takiguchi, Edwin R. Hancock:
Multimodal fusion for indoor sound source localization. Pattern Recognit. 115: 107906 (2021)
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Jianjia Wang, Richard C. Wilson, Edwin R. Hancock:
Network edge entropy decomposition with spin statistics. Pattern Recognit. 118: 108040 (2021)
[j195]
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Lixin Cui, Lu Bai, Yue Wang, Philip S. Yu, Edwin R. Hancock:
Fused lasso for feature selection using structural information. Pattern Recognit. 119: 108058 (2021)
[j194]
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Jianjia Wang, Xingchen Guo, Weimin Li, Xing Wu, Zhihong Zhang, Edwin R. Hancock:
Statistical mechanical analysis for unweighted and weighted stock market networks. Pattern Recognit. 120: 108123 (2021)
[j193]
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Miguel Angel Lozano, Francisco Escolano, Manuel Curado, Edwin R. Hancock:
Network embedding from the line graph: Random walkers and boosted classification. Pattern Recognit. Lett. 143: 36-42 (2021)
[j192]
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Zhihong Zhang, Ruiyang Liang, Xu Chen, Xuexin Xu, Guosheng Hu, Wangmeng Zuo, Edwin R. Hancock:
Semi-Supervised Face Frontalization in the Wild. IEEE Trans. Inf. Forensics Secur. 16: 909-922 (2021)
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Xuexin Xu, Liang Shi, Jinhui Chen, Xunquan Chen, Jie Lian, Pingyuan Lin, Zhihong Zhang, Edwin R. Hancock:
Two-Pathway Style Embedding for Arbitrary Voice Conversion. Interspeech 2021: 1364-1368
2020
[j191]
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  - journals/compnet/MinelloTH20
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Giorgia Minello, Andrea Torsello, Edwin R. Hancock:
Open system quantum thermodynamics of time-varying graphs. J. Complex Networks 8(1) (2020)
[j190]
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  - journals/compnet/AzizHWE20
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Furqan Aziz, Edwin R. Hancock, Richard C. Wilson, Ernesto Estrada:
Network entropy using edge-based information functionals. J. Complex Networks 8(3) (2020)
[j189]
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  - journals/entropy/CuradoELH20
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Manuel Curado, Francisco Escolano, Miguel Angel Lozano, Edwin R. Hancock:
Early Detection of Alzheimer's Disease: Detecting Asymmetries with a Return Random Walk Link Predictor. Entropy 22(4): 465 (2020)
[j188]
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Manuel Curado, Francisco Escolano, Miguel Angel Lozano, Edwin R. Hancock:
Seeking affinity structure: Strategies for improving m-best graph matching. Inf. Sci. 509: 164-182 (2020)
[j187]
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  - journals/pr/ZhouBLZH20
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Lei Zhou, Xiao Bai, Xianglong Liu, Jun Zhou, Edwin R. Hancock:
Learning binary code for fast nearest subspace search. Pattern Recognit. 98 (2020)
[j186]
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Zhihong Zhang, Yangbin Zeng, Lu Bai, Yiqun Hu, Meihong Wu, Shuai Wang, Edwin R. Hancock:
Spectral bounding: Strictly satisfying the 1-Lipschitz property for generative adversarial networks. Pattern Recognit. 105: 107179 (2020)
[j185]
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Xiao Bai, Edwin R. Hancock, Richard C. Wilson, Tin Kam Ho:
Special issue on recent advances in statistical, structural and syntactic pattern recognition. Pattern Recognit. Lett. 131: 46-48 (2020)
[j184]
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Lu Bai, Lixin Cui, Luca Rossi, Lixiang Xu, Xiao Bai, Edwin R. Hancock:
Local-global nested graph kernels using nested complexity traces. Pattern Recognit. Lett. 134: 87-95 (2020)
[j183]
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Jianjia Wang, Richard C. Wilson, Edwin R. Hancock:
Directed and undirected network evolution from Euler-Lagrange dynamics. Pattern Recognit. Lett. 134: 135-144 (2020)
[j182]
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  - journals/staeors/ZhouZWBTZZH20
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Lei Zhou, Xueni Zhang, Jianbo Wang, Xiao Bai, Lei Tong, Liang Zhang, Jun Zhou, Edwin R. Hancock:
Subspace Structure Regularized Nonnegative Matrix Factorization for Hyperspectral Unmixing. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 13: 4257-4270 (2020)
[j181]
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  - journals/tcyb/BaiRCCH20
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Lu Bai, Luca Rossi, Lixin Cui, Jian Cheng, Edwin R. Hancock:
A Quantum-Inspired Similarity Measure for the Analysis of Complete Weighted Graphs. IEEE Trans. Cybern. 50(3): 1264-1277 (2020)
[c598]
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  - conf/icpr/0014X0WCZHY20
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Yue Wang, Zhuo Xu, Lu Bai, Yao Wan, Lixin Cui, Qian Zhao, Edwin R. Hancock, Philip S. Yu:
Cross-Supervised Joint-Event-Extraction with Heterogeneous Information Networks. ICPR 2020: 278-285
[c597]
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  - conf/icpr/Yu000ZH20
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Suihanjin Yu, Youmin Zhang, Chen Wang, Xiao Bai, Liang Zhang, Edwin R. Hancock:
HMFlow: Hybrid Matching Optical Flow Network for Small and Fast-Moving Objects. ICPR 2020: 1197-1204
[c596]
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  - conf/icpr/00080ZZH20
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Lei Zhou, Xiao Bai, Liang Zhang, Jun Zhou, Edwin R. Hancock:
Fast Subspace Clustering Based on the Kronecker Product. ICPR 2020: 1558-1565
[c595]
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Jianjia Wang, Hui Wu, Edwin R. Hancock:
Thermal Characterisation of Unweighted and Weighted Networks. ICPR 2020: 1641-1648
[c594]
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  - conf/icpr/WuWH20
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Hui Wu, Jianjia Wang, Edwin R. Hancock:
fMRI Brain Networks as Statistical Mechanical Ensembles. ICPR 2020: 1694-1700
[c593]
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Lu Bai, Lixin Cui, Yue Wang, Yuhang Jiao, Edwin R. Hancock:
A Quantum-inspired Entropic Kernel for Multiple Financial Time Series Analysis. IJCAI 2020: 4453-4460
[c592]
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Junchi Yan, Shuang Yang, Edwin R. Hancock:
Learning for Graph Matching and Related Combinatorial Optimization Problems. IJCAI 2020: 4988-4996
[c591]
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  - conf/sspr/LiWC0H20
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Huan Li, Boyuan Wang, Lixin Cui, Lu Bai, Edwin R. Hancock:
LGL-GNN: Learning Global and Local Information for Graph Neural Networks. S+SSPR 2020: 129-138
[c590]
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Boyuan Wang, Lixin Cui, Lu Bai, Edwin R. Hancock:
Graph Transformer: Learning Better Representations for Graph Neural Networks. S+SSPR 2020: 139-149
[c589]
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Haoran Zhu, Hui Wu, Jianjia Wang, Edwin R. Hancock:
Weighted Network Analysis Using the Debye Model. S+SSPR 2020: 153-163
[c588]
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Lixin Cui, Lichi Zhang, Lu Bai, Yue Wang, Edwin R. Hancock:
Alzheimer's Brain Network Analysis Using Sparse Learning Feature Selection. S+SSPR 2020: 184-194
[c587]
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  - conf/sspr/EscolanoLH20
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Francisco Escolano, Miguel Angel Lozano, Edwin R. Hancock:
The Entropy of Graph Embeddings: A Proxy of Potential Mobility in Covid19 Outbreaks. S+SSPR 2020: 195-204
[i16]
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  - journals/corr/abs-2002-04425
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Lu Bai, Lixin Cui, Edwin R. Hancock:
A Hierarchical Transitive-Aligned Graph Kernel for Un-attributed Graphs. CoRR abs/2002.04425 (2020)
[i15]
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  - journals/corr/abs-2010-06310
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Yue Wang, Zhuo Xu, Lu Bai, Yao Wan, Lixin Cui, Qian Zhao, Edwin R. Hancock, Philip S. Yu:
Cross-Supervised Joint-Event-Extraction with Heterogeneous Information Networks. CoRR abs/2010.06310 (2020)
[i14]
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  - journals/corr/abs-2011-09654
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Suihanjin Yu, Youmin Zhang, Chen Wang, Xiao Bai, Liang Zhang, Edwin R. Hancock:
HMFlow: Hybrid Matching Optical Flow Network for Small and Fast-Moving Objects. CoRR abs/2011.09654 (2020)

2010 – 2019

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What is the meaning of the colors in the publication lists?

2019
[j180]
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Furqan Aziz, Richard C. Wilson, Edwin R. Hancock:
A wave packet signature for complex networks. J. Complex Networks 7(3): 346-374 (2019)
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Lu Bai, Lixin Cui, Xiao Bai, Edwin R. Hancock:
Deep depth-based representations of graphs through deep learning networks. Neurocomputing 336: 3-12 (2019)
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Lixin Cui, Lu Bai, Zhihong Zhang, Yue Wang, Edwin R. Hancock:
Identifying the most informative features using a structurally interacting elastic net. Neurocomputing 336: 13-26 (2019)
[j177]
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Cheng Yan, Xiao Bai, Shuai Wang, Jun Zhou, Edwin R. Hancock:
Cross-modal hashing with semantic deep embedding. Neurocomputing 337: 58-66 (2019)
[j176]
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  - journals/pr/ZhangCWBH19
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Zhihong Zhang, Dongdong Chen, Jianjia Wang, Lu Bai, Edwin R. Hancock:
Quantum-based subgraph convolutional neural networks. Pattern Recognit. 88: 38-49 (2019)
[j175]
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Zhihong Zhang, Dongdong Chen, Zeli Wang, Heng Li, Lu Bai, Edwin R. Hancock:
Depth-based subgraph convolutional auto-encoder for network representation learning. Pattern Recognit. 90: 363-376 (2019)
[j174]
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Manuel Curado, Francisco Escolano, Miguel Angel Lozano, Edwin R. Hancock:
Dirichlet densifiers for improved commute times estimation. Pattern Recognit. 91: 56-68 (2019)
[j173]
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  - https://dblp.org/rec/journals/prl/ZhangXZCCWLH19
Zhihong Zhang, Chen Xu, Zhonghao Zhang, Guo Chen, Yide Cai, Zeli Wang, Heng Li, Edwin R. Hancock:
Single image super resolution via neighbor reconstruction. Pattern Recognit. Lett. 125: 157-165 (2019)
[j172]
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Zhihong Zhang, Genzhou Zhang, Zhonghao Zhang, Guo Chen, Yangbin Zeng, Beizhan Wang, Edwin R. Hancock:
Structural network inference from time-series data using a generative model and transfer entropy. Pattern Recognit. Lett. 125: 357-363 (2019)
[j171]
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  - journals/prl/CuradoLEH19
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Manuel Curado, Miguel Angel Lozano, Francisco Escolano, Edwin R. Hancock:
Dirichlet densifier bounds: Densifying beyond the spectral gap constraint. Pattern Recognit. Lett. 125: 425-431 (2019)
[j170]
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Xueni Zhang, Lei Zhou, Xiao Bai, Xiushu Luan, Jie Luo, Edwin R. Hancock:
Deep supervised hashing using symmetric relative entropy. Pattern Recognit. Lett. 125: 677-683 (2019)
[j169]
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  - journals/soco/XuHZ19
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Haixia Xu, Edwin R. Hancock, Wei Zhou:
The low-rank decomposition of correlation-enhanced superpixels for video segmentation. Soft Comput. 23(24): 13055-13065 (2019)
[j168]
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Zhihong Zhang, Xu Chen, Beizhan Wang, Guosheng Hu, Wangmeng Zuo, Edwin R. Hancock:
Face Frontalization Using an Appearance-Flow-Based Convolutional Neural Network. IEEE Trans. Image Process. 28(5): 2187-2199 (2019)
[j167]
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Jinhui Chen, Zhaojie Luo, Zhihong Zhang, Faliang Huang, Zhiling Ye, Tetsuya Takiguchi, Edwin R. Hancock:
Polar Transformation on Image Features for Orientation-Invariant Representations. IEEE Trans. Multim. 21(2): 300-313 (2019)
[c586]
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Xin Wang, Xiang Wang, Chen Wang, Xiao Bai, Jing Wu, Edwin Robert Hancock:
Discriminative Features Matter: Multi-layer Bilinear Pooling for Camera Localization. BMVC 2019: 87
[c585]
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Jianjia Wang, Richard C. Wilson, Edwin R. Hancock:
Graph Edge Entropy in Maxwell-Boltzmann Statistics for Alzheimer's Disease Analysis. GbRPR 2019: 56-66
[c584]
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Ibrahim Caglar, Edwin R. Hancock:
Network Time Series Analysis Using Transfer Entropy. GbRPR 2019: 194-203
[c583]
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Miguel Angel Lozano, Manuel Curado, Francisco Escolano, Edwin R. Hancock:
Network Embedding by Walking on the Line Graph. GbRPR 2019: 215-225
[c582]
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Lei Zhou, Xiao Bai, Dong Wang, Xianglong Liu, Jun Zhou, Edwin R. Hancock:
Latent Distribution Preserving Deep Subspace Clustering. IJCAI 2019: 4440-4446
[c581]
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Cheng Yan, Guansong Pang, Xiao Bai, Chunhua Shen, Jun Zhou, Edwin R. Hancock:
Deep Hashing by Discriminating Hard Examples. ACM Multimedia 2019: 1535-1542
[c580]
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Lu Bai, Yuhang Jiao, Lixin Cui, Edwin R. Hancock:
Learning Aligned-Spatial Graph Convolutional Networks for Graph Classification. ECML/PKDD (1) 2019: 464-482
[i13]
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Lu Bai, Lixin Cui, Shu Wu, Yuhang Jiao, Edwin R. Hancock:
Learning Vertex Convolutional Networks for Graph Classification. CoRR abs/1902.09936 (2019)
[i12]
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Lixin Cui, Lu Bai, Edwin R. Hancock:
Fused Lasso for Feature Selection using Structural Information. CoRR abs/1902.09947 (2019)
[i11]
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Lu Bai, Yuhang Jiao, Lixin Cui, Edwin R. Hancock:
Learning Aligned-Spatial Graph Convolutional Networks for Graph Classification. CoRR abs/1904.04238 (2019)
[i10]
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Lu Bai, Luca Rossi, Lixin Cui, Jian Cheng, Edwin R. Hancock:
A Quantum-inspired Similarity Measure for the Analysis of Complete Weighted Graphs. CoRR abs/1904.13239 (2019)
[i9]
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Yuqing Ma, Xianglong Liu, Shihao Bai, Lei Wang, Aishan Liu, Dacheng Tao, Edwin R. Hancock:
Region-wise Generative Adversarial ImageInpainting for Large Missing Areas. CoRR abs/1909.12507 (2019)
[i8]
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Lu Bai, Lixin Cui, Lixiang Xu, Yue Wang, Zhihong Zhang, Edwin R. Hancock:
Entropic Dynamic Time Warping Kernels for Co-evolving Financial Time Series Analysis. CoRR abs/1910.09153 (2019)
2018
[j166]
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Cheng Ye, Richard C. Wilson, Edwin R. Hancock:
Network analysis using entropy component analysis. J. Complex Networks 6(3): 404-429 (2018)
[j165]
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Cheng Ye, Richard C. Wilson, Edwin R. Hancock:
Erratum to "Network analysis using entropy component analysis". J. Complex Networks 6(5): 831 (2018)
[j164]
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Cheng Ye, Richard C. Wilson, Luca Rossi, Andrea Torsello, Edwin R. Hancock:
Thermodynamic Analysis of Time Evolving Networks. Entropy 20(10): 759 (2018)
[j163]
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Yuelong Li, Edwin R. Hancock, Zhitao Xiao, Lei Geng, Jun Wu, Fang Zhang, Chunqing Li:
Vertex-level three-dimensional shape deformability measurement based on line segment advection. IET Comput. Vis. 12(4): 520-526 (2018)
[j162]
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Edwin R. Hancock, Richard C. Wilson, William A. P. Smith, Adrian G. Bors, Nick E. Pears:
Editorial: Special Issue on Machine Vision. Int. J. Comput. Vis. 126(12): 1267-1268 (2018)
[j161]
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Xu Chen, Zhihong Zhang, Beizhan Wang, Guosheng Hu, Edwin R. Hancock:
Recovering variations in facial albedo from low resolution images. Pattern Recognit. 74: 373-384 (2018)
[j160]
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Xiao Bai, Cheng Yan, Haichuan Yang, Lu Bai, Jun Zhou, Edwin Robert Hancock:
Adaptive hash retrieval with kernel based similarity. Pattern Recognit. 75: 136-148 (2018)
[c579]
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Jianjia Wang, Richard C. Wilson, Edwin R. Hancock:
Directed Graph Evolution from Euler-Lagrange Dynamics. ICPR 2018: 448-453
[c578]
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Chuanyu Xu, Dong Wang, Zhihong Zhang, Beizhan Wang, Da Zhou, Guijun Ren, Lu Bai, Lixin Cui, Edwin R. Hancock:
Depth-based Subgraph Convolutional Neural Networks. ICPR 2018: 1024-1029
[c577]
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Lixin Cui, Lu Bai, Luca Rossi, Yue Wang, Yuhang Jiao, Edwin R. Hancock:
A Deep Hybrid Graph Kernel Through Deep Learning Networks. ICPR 2018: 1030-1035
[c576]
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Muhammad Jawad, Furqan Aziz, Edwin R. Hancock:
Local Binary Patterns for Graph Characterization. ICPR 2018: 1241-1246
[c575]
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  - conf/icpr/CuradoELH18
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Manuel Curado, Francisco Escolano, Miguel Angel Lozano, Edwin Robert Hancock:
net4Lap: Neural Laplacian Regularization for Ranking and Re-Ranking. ICPR 2018: 1366-1371
[c574]
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Manuel Curado, Francisco Escolano, Miguel Angel Lozano, Edwin R. Hancock:
Semi-supervised Graph Rewiring with the Dirichlet Principle. ICPR 2018: 2172-2177
[c573]
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Zhiling Ye, Zhihong Zhang, Lu Bai, Guosheng Hu, Zheng-Jian Bai, Yiqun Hu, Edwin R. Hancock:
A Unified Neighbor Reconstruction Method for Embeddings. ICPR 2018: 3186-3191
[c572]
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Edwin R. Hancock:
Time Evolving Networks in Finance and Medicine. ICPRAM 2018: 7
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Lei Zhou, Shuai Wang, Xiao Bai, Jun Zhou, Edwin R. Hancock:
Iterative Deep Subspace Clustering. S+SSPR 2018: 42-51
[c570]
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  - conf/sspr/CaglarH18
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Ibrahim Caglar, Edwin R. Hancock:
Graph Time Series Analysis Using Transfer Entropy. S+SSPR 2018: 217-226
[c569]
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Lixin Cui, Lu Bai, Luca Rossi, Zhihong Zhang, Yuhang Jiao, Edwin R. Hancock:
A Preliminary Survey of Analyzing Dynamic Time-Varying Financial Networks Using Graph Kernels. S+SSPR 2018: 237-247
[c568]
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Richard C. Wilson, Edwin R. Hancock:
Plenoptic Imaging for Seeing Through Turbulence. S+SSPR 2018: 367-375
[c567]
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Xueni Zhang, Lei Zhou, Xiao Bai, Edwin R. Hancock:
Deep Supervised Hashing with Information Loss. S+SSPR 2018: 395-405
[c566]
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Jianjia Wang, Richard C. Wilson, Edwin R. Hancock:
Quantum Edge Entropy for Alzheimer's Disease Analysis. S+SSPR 2018: 449-459
[c565]
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Meihong Wu, Yangbin Zeng, Zhihong Zhang, Haiyun Hong, Zhuobin Xu, Lixin Cui, Lu Bai, Edwin R. Hancock:
Directed Network Analysis Using Transfer Entropy Component Analysis. S+SSPR 2018: 491-500
[c564]
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Lixin Cui, Lu Bai, Luca Rossi, Zhihong Zhang, Lixiang Xu, Edwin R. Hancock:
A Mixed Entropy Local-Global Reproducing Kernel for Attributed Graphs. S+SSPR 2018: 501-511
[c563]
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Manuel Curado, Francisco Escolano, Miguel Angel Lozano, Edwin R. Hancock:
Dirichlet Densifiers: Beyond Constraining the Spectral Gap. S+SSPR 2018: 512-521
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  - conf/emmcvpr/2017
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Marcello Pelillo, Edwin R. Hancock:
Energy Minimization Methods in Computer Vision and Pattern Recognition - 11th International Conference, EMMCVPR 2017, Venice, Italy, October 30 - November 1, 2017, Revised Selected Papers. Lecture Notes in Computer Science 10746, Springer 2018, ISBN 978-3-319-78198-3 [contents]
[e16]
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Xiao Bai, Edwin R. Hancock, Tin Kam Ho, Richard C. Wilson, Battista Biggio, Antonio Robles-Kelly:
Structural, Syntactic, and Statistical Pattern Recognition - Joint IAPR International Workshop, S+SSPR 2018, Beijing, China, August 17-19, 2018, Proceedings. Lecture Notes in Computer Science 11004, Springer 2018, ISBN 978-3-319-97784-3 [contents]
[i7]
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Lei Zhou, Xiao Bai, Xianglong Liu, Jun Zhou, Edwin R. Hancock:
Fast Subspace Clustering Based on the Kronecker Product. CoRR abs/1803.05657 (2018)
[i6]
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  - journals/corr/abs-1809-01090
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Lu Bai, Yuhang Jiao, Luca Rossi, Lixin Cui, Jian Cheng, Edwin R. Hancock:
A Quantum Spatial Graph Convolutional Neural Network using Quantum Passing Information. CoRR abs/1809.01090 (2018)
[i5]
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  - journals/corr/abs-1809-02860
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Lixin Cui, Lu Bai, Zhihong Zhang, Yue Wang, Edwin R. Hancock:
Identifying The Most Informative Features Using A Structurally Interacting Elastic Net. CoRR abs/1809.02860 (2018)
2017
[j159]
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Arnaud Dessein, William A. P. Smith, Richard C. Wilson, Edwin R. Hancock:
Symmetry-Aware Mesh Segmentation into Uniform Overlapping Patches. Comput. Graph. Forum 36(8): 95-107 (2017)
[j158]
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Jianjia Wang, Richard C. Wilson, Edwin R. Hancock:
Spin statistics, partition functions and network entropy. J. Complex Networks 5(6): 858-883 (2017)
[j157]
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Zhihong Zhang, Lu Bai, Yuanheng Liang, Edwin R. Hancock:
Joint hypergraph learning and sparse regression for feature selection. Pattern Recognit. 63: 291-309 (2017)
[j156]
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  - journals/prl/EscolanoHLC17
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Francisco Escolano, Edwin R. Hancock, Miguel Angel Lozano, Manuel Curado:
The mutual information between graphs. Pattern Recognit. Lett. 87: 12-19 (2017)
[j155]
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Lu Bai, Luca Rossi, Lixin Cui, Zhihong Zhang, Peng Ren, Xiao Bai, Edwin R. Hancock:
Quantum kernels for unattributed graphs using discrete-time quantum walks. Pattern Recognit. Lett. 87: 96-103 (2017)
[j154]
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Zhihong Zhang, Yiyang Tian, Lu Bai, Jianbing Xiahou, Edwin R. Hancock:
High-order covariate interacted Lasso for feature selection. Pattern Recognit. Lett. 87: 139-146 (2017)
[j153]
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  - journals/siamis/EscolanoHL17
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Francisco Escolano, Edwin R. Hancock, Miguel Angel Lozano:
Graph Similarity through Entropic Manifold Alignment. SIAM J. Imaging Sci. 10(2): 942-978 (2017)
[c562]
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Francisco Escolano, Edwin R. Hancock:
Bragg Diffraction Patterns as Graph Characteristics. EMMCVPR 2017: 62-75
[c561]
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Jianjia Wang, Richard C. Wilson, Edwin R. Hancock:
Euler-Lagrange Network Dynamics. EMMCVPR 2017: 424-438
[c560]
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  - conf/gbrpr/EscolanoCBH17
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Francisco Escolano, Manuel Curado, Silvia Biasotti, Edwin R. Hancock:
Shape Simplification Through Graph Sparsification. GbRPR 2017: 13-22
[c559]
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Lu Bai, Luca Rossi, Lixin Cui, Edwin R. Hancock:
A Nested Alignment Graph Kernel Through the Dynamic Time Warping Framework. GbRPR 2017: 59-69
[c558]
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Jianjia Wang, Richard C. Wilson, Edwin R. Hancock:
Detecting Alzheimer's Disease Using Directed Graphs. GbRPR 2017: 94-104
[c557]
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Jianjia Wang, Richard C. Wilson, Edwin R. Hancock:
Minimising Entropy Changes in Dynamic Network Evolution. GbRPR 2017: 255-265
[c556]
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Lixin Cui, Yuhang Jiao, Lu Bai, Luca Rossi, Edwin R. Hancock:
Adaptive Feature Selection Based on the Most Informative Graph-Based Features. GbRPR 2017: 276-287
[c555]
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  - conf/iccv/TozzaSZRH17
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Silvia Tozza, William A. P. Smith, Dizhong Zhu, Ravi Ramamoorthi, Edwin R. Hancock:
Linear Differential Constraints for Photo-Polarimetric Height Estimation. ICCV 2017: 2298-2306
[c554]
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Bingbing Han, Zhihong Zhang, Chuanyu Xu, Beizhan Wang, Guosheng Hu, Lu Bai, Qingqi Hong, Edwin R. Hancock:
Deep Face Model Compression Using Entropy-Based Filter Selection. ICIAP (2) 2017: 127-136
[c553]
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Jianjia Wang, Richard C. Wilson, Edwin R. Hancock:
Network Edge Entropy from Maxwell-Boltzmann Statistics. ICIAP (1) 2017: 254-264
[i4]
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Silvia Tozza, William A. P. Smith, Dizhong Zhu, Ravi Ramamoorthi, Edwin R. Hancock:
Linear Differential Constraints for Photo-polarimetric Height Estimation. CoRR abs/1708.07718 (2017)
2016
[j152]
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Zhihong Zhang, Jianbing Xiahou, Zheng-Jian Bai, Edwin R. Hancock, Da Zhou, Sibao Chen, Liyan Chen:
Discriminative Lasso. Cogn. Comput. 8(5): 847-855 (2016)
[j151]
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Filipi Nascimento Silva, Cesar H. Comin, Thomas K. D. M. Peron, Francisco Aparecido Rodrigues, Cheng Ye, Richard C. Wilson, Edwin R. Hancock, Luciano da F. Costa:
Concentric network symmetry. Inf. Sci. 333: 61-80 (2016)
[j150]
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Zhihong Zhang, Yuanheng Liang, Lu Bai, Edwin R. Hancock:
Discriminative sparse representation for face recognition. Multim. Tools Appl. 75(7): 3973-3992 (2016)
[j149]
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Zhihong Zhang, Lu Bai, Peng Ren, Edwin R. Hancock:
High-order graph matching kernel for early carcinoma EUS image classification. Multim. Tools Appl. 75(7): 3993-4012 (2016)
[j148]
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  - journals/pr/BaiH16
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Lu Bai, Edwin R. Hancock:
Fast depth-based subgraph kernels for unattributed graphs. Pattern Recognit. 50: 233-245 (2016)
[j147]
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Lu Bai, Francisco Escolano, Edwin R. Hancock:
Depth-based hypergraph complexity traces from directed line graphs. Pattern Recognit. 54: 229-240 (2016)
[j146]
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  - journals/tnn/PelilloHLM16
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Marcello Pelillo, Edwin R. Hancock, Xuelong Li, Vittorio Murino:
Guest Editorial Special Section on Learning in Non-(geo)metric Spaces. IEEE Trans. Neural Networks Learn. Syst. 27(6): 1290-1293 (2016)
[c552]
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Lu Bai, Luca Rossi, Lixin Cui, Edwin R. Hancock:
A transitive aligned Weisfeiler-Lehman subtree kernel. ICPR 2016: 396-401
[c551]
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Jianjia Wang, Richard C. Wilson, Edwin R. Hancock:
Network entropy analysis using the Maxwell-Boltzmann partition function. ICPR 2016: 1321-1326
[c550]
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Lu Bai, Luca Rossi, Lixin Cui, Edwin R. Hancock:
A novel entropy-based graph signature from the average mixing matrix. ICPR 2016: 1339-1344
[c549]
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  - conf/icpr/MinelloTH16
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Giorgia Minello, Andrea Torsello, Edwin R. Hancock:
Quantum thermodynamics of time evolving networks. ICPR 2016: 1536-1541
[c548]
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  - conf/icpr/DahlanH16
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Hadi A. Dahlan, Edwin R. Hancock:
Absorptive scattering model for rough laminar surfaces. ICPR 2016: 1905-1910
[c547]
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Lu Bai, Lixin Cui, Francisco Escolano, Edwin R. Hancock:
An edge-based matching kernel on commute-time spanning trees. ICPR 2016: 2103-2108
[c546]
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Lu Bai, Lixin Cui, Yue Wang, Xin Jin, Xiao Bai, Edwin R. Hancock:
Shape classification with a vertex clustering graph kernel. ICPR 2016: 2634-2639
[c545]
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Hadi A. Dahlan, Edwin R. Hancock, William A. P. Smith:
Reflectance-aware optical flow. ICPR 2016: 2860-2865
[c544]
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Cheng Ye, Richard C. Wilson, Edwin R. Hancock:
Analyzing graph time series using a generative model. ICPR 2016: 3338-3343
[c543]
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Yiping Zhang, Zhihong Zhang, Guosheng Hu, Edwin R. Hancock:
Face image super-resolution via weighted patches regression. ICPR 2016: 3892-3897
[c542]
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  - conf/sspr/CuiBW0ZH16
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Lixin Cui, Lu Bai, Yue Wang, Xiao Bai, Zhihong Zhang, Edwin R. Hancock:
P2P Lending Analysis Using the Most Relevant Graph-Based Features. S+SSPR 2016: 3-14
[c541]
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  - conf/sspr/MinelloTH16
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Giorgia Minello, Andrea Torsello, Edwin R. Hancock:
Thermodynamic Characterization of Temporal Networks. S+SSPR 2016: 49-59
[c540]
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Jianjia Wang, Richard C. Wilson, Edwin R. Hancock:
Thermodynamic Network Analysis with Quantum Spin Statistics. S+SSPR 2016: 153-162
[c539]
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Cheng Ye, Richard C. Wilson, Edwin R. Hancock:
Correlation Network Evolution Using Mean Reversion Autoregression. S+SSPR 2016: 163-173
[c538]
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  - conf/sspr/AzizHW16
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Furqan Aziz, Edwin R. Hancock, Richard C. Wilson:
Graph Entropy from Closed Walk and Cycle Functionals. S+SSPR 2016: 174-184
[c537]
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Francisco Escolano, Manuel Curado, Miguel Angel Lozano, Edwin R. Hancock:
Dirichlet Graph Densifiers. S+SSPR 2016: 185-195
[c536]
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Cheng Ye, Richard C. Wilson, Edwin R. Hancock:
A Jensen-Shannon Divergence Kernel for Directed Graphs. S+SSPR 2016: 196-206
[c535]
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Jianjia Wang, Richard C. Wilson, Edwin R. Hancock:
fMRI Activation Network Analysis Using Bose-Einstein Entropy. S+SSPR 2016: 218-228
[c534]
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Francisco Escolano, Manuel Curado, Edwin R. Hancock:
Commute Times in Dense Graphs. S+SSPR 2016: 241-251
[e15]
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  - conf/bmvc/2016
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Richard C. Wilson, Edwin R. Hancock, William A. P. Smith:
Proceedings of the British Machine Vision Conference 2016, BMVC 2016, York, UK, September 19-22, 2016. BMVA Press 2016 [contents]
2015
[j145]
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Hewayda ElGhawalby, Edwin R. Hancock:
Heat Kernel Embeddings, Differential Geometry and Graph Structure. Axioms 4(3): 275-293 (2015)
[j144]
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Lin Han, Richard C. Wilson, Edwin R. Hancock:
Generative Graph Prototypes from Information Theory. IEEE Trans. Pattern Anal. Mach. Intell. 37(10): 2013-2027 (2015)
[j143]
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Lu Bai, Luca Rossi, Andrea Torsello, Edwin R. Hancock:
A quantum Jensen-Shannon graph kernel for unattributed graphs. Pattern Recognit. 48(2): 344-355 (2015)
[j142]
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  - journals/pr/EmmsSWH15
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David Emms, Simone Severini, Richard C. Wilson, Edwin R. Hancock:
Corrigendum to "Coined quantum walks lift the cospectrality of graphs and trees" [Pattern Recognition 42 (9) (2009) 1988-2002]. Pattern Recognit. 48(4): 1574-1575 (2015)
[j141]
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Edwin R. Hancock, Richard C. Wilson, Adrian G. Bors, William A. P. Smith:
Editorial. Pattern Recognit. 48(11): 3281-3282 (2015)
[j140]
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Luca Rossi, Andrea Torsello, Edwin R. Hancock:
Unfolding Kernel embeddings of graphs: Enhancing class separation through manifold learning. Pattern Recognit. 48(11): 3357-3370 (2015)
[c533]
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  - conf/caip/BaiZWH15
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Lu Bai, Zhihong Zhang, Chaoyan Wang, Edwin R. Hancock:
An Edge-Based Matching Kernel for Graphs Through the Directed Line Graphs. CAIP (2) 2015: 85-95
[c532]
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Lu Bai, Zhihong Zhang, Peng Ren, Edwin R. Hancock:
A High-Order Depth-Based Graph Matching Method. CAIP (1) 2015: 465-476
[c531]
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Zhihong Zhang, Lu Bai, Yuanheng Liang, Edwin R. Hancock:
Adaptive Graph Learning for Unsupervised Feature Selection. CAIP (1) 2015: 790-800
[c530]
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Cheng Ye, Richard C. Wilson, Edwin R. Hancock:
An Entropic Edge Assortativity Measure. GbRPR 2015: 23-33
[c529]
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Zhihong Zhang, Jianbing Xiahou, Lu Bai, Edwin R. Hancock:
Coupled-Feature Hypergraph Representation for Feature Selection. GbRPR 2015: 44-53
[c528]
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Lu Bai, Luca Rossi, Peng Ren, Zhihong Zhang, Edwin R. Hancock:
A Quantum Jensen-Shannon Graph Kernel Using Discrete-Time Quantum Walks. GbRPR 2015: 252-261
[c527]
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Cheng Ye, Andrea Torsello, Richard C. Wilson, Edwin R. Hancock:
Thermodynamics of Time Evolving Networks. GbRPR 2015: 315-324
[c526]
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  - conf/gbrpr/EscolanoHL15
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Francisco Escolano, Edwin R. Hancock, Miguel Angel Lozano:
Skeletal Graphs from Schrödinger Magnitude and Phase. GbRPR 2015: 335-344
[c525]
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  - conf/iccv/DesseinSWH15
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Arnaud Dessein, William A. P. Smith, Richard C. Wilson, Edwin R. Hancock:
Example-Based Modeling of Facial Texture from Deficient Data. ICCV 2015: 3898-3906
[c524]
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Lu Bai, Zhihong Zhang, Peng Ren, Luca Rossi, Edwin R. Hancock:
An Edge-Based Matching Kernel Through Discrete-Time Quantum Walks. ICIAP (1) 2015: 27-38
[c523]
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Zhihong Zhang, Lu Bai, Yuanheng Liang, Edwin R. Hancock:
Unsupervised Feature Selection by Graph Optimization. ICIAP (1) 2015: 130-140
[c522]
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Lu Bai, Luca Rossi, Zhihong Zhang, Edwin R. Hancock:
An Aligned Subtree Kernel for Weighted Graphs. ICML 2015: 30-39
[c521]
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Lu Bai, Zhihong Zhang, Chaoyan Wang, Xiao Bai, Edwin R. Hancock:
A Graph Kernel Based on the Jensen-Shannon Representation Alignment. IJCAI 2015: 3322-3328
[c520]
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  - conf/simbad/CuradoEHNP15
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Manuel Curado, Francisco Escolano, Edwin R. Hancock, Farshad Nourbakhsh, Marcello Pelillo:
Similarity Analysis from Limiting Quantum Walks. SIMBAD 2015: 38-53
[i3]
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Cheng Ye, Cesar H. Comin, Thomas K. D. M. Peron, Filipi Nascimento Silva, Francisco Aparecido Rodrigues, Luciano da Fontoura Costa, Andrea Torsello, Edwin R. Hancock:
Thermodynamic characterization of networks using graph polynomials. CoRR abs/1512.01418 (2015)
2014
[j139]
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Richard C. Wilson, Edwin R. Hancock, Elzbieta Pekalska, Robert P. W. Duin:
Spherical and Hyperbolic Embeddings of Data. IEEE Trans. Pattern Anal. Mach. Intell. 36(11): 2255-2269 (2014)
[j138]
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Lu Bai, Edwin R. Hancock:
Depth-based complexity traces of graphs. Pattern Recognit. 47(3): 1172-1186 (2014)
[j137]
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Weiping Xu, Edwin R. Hancock, Richard C. Wilson:
Ricci flow embedding for rectifying non-Euclidean dissimilarity data. Pattern Recognit. 47(11): 3709-3725 (2014)
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Edwin R. Hancock, Josef Kittler:
Celebrating the life and work of Maria Petrou. Pattern Recognit. Lett. 48: 1 (2014)
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Ajay Mittal, Abdelaziz Bensrhair, Edwin R. Hancock:
Obstacle detection by means of stereo feature matching. ICIP 2014: 1618-1622
[c518]
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Arnaud Dessein, William A. P. Smith, Richard C. Wilson, Edwin R. Hancock:
Seamless texture stitching on a 3D mesh by poisson blending in patches. ICIP 2014: 2031-2035
[c517]
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Lu Bai, Horst Bunke, Edwin R. Hancock:
An Attributed Graph Kernel from the Jensen-Shannon Divergence. ICPR 2014: 88-93
[c516]
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Francisco Escolano, Edwin R. Hancock:
The Mutual Information between Graphs. ICPR 2014: 94-99
[c515]
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Eliza Xu, Richard C. Wilson, Edwin R. Hancock:
Curvature Estimation for Ricci Flow Embedding. ICPR 2014: 1562-1567
[c514]
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Furqan Aziz, Richard C. Wilson, Edwin R. Hancock:
Graph Characterization Using Wave Kernel Trace. ICPR 2014: 3822-3827
[c513]
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Cheng Ye, Richard C. Wilson, Edwin R. Hancock:
Graph Characterization from Entropy Component Analysis. ICPR 2014: 3845-3850
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Lu Bai, Edwin R. Hancock, Peng Ren, Francisco Escolano:
Directed Depth-Based Complexity Traces of Hypergraphs from Directed Line Graphs. ICPR 2014: 3874-3879
[c511]
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Lu Bai, Peng Ren, Edwin R. Hancock:
A Hypergraph Kernel from Isomorphism Tests. ICPR 2014: 3880-3885
[c510]
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Lu Bai, Luca Rossi, Horst Bunke, Edwin R. Hancock:
Attributed Graph Kernels Using the Jensen-Tsallis q-Differences. ECML/PKDD (1) 2014: 99-114
[c509]
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Lu Bai, Peng Ren, Xiao Bai, Edwin R. Hancock:
A Graph Kernel from the Depth-Based Representation. S+SSPR 2014: 1-11
[c508]
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Andrea Torsello, Andrea Gasparetto, Luca Rossi, Lu Bai, Edwin R. Hancock:
Transitive State Alignment for the Quantum Jensen-Shannon Kernel. S+SSPR 2014: 22-31
[c507]
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Luca Rossi, Andrea Torsello, Edwin R. Hancock:
Node Centrality for Continuous-Time Quantum Walks. S+SSPR 2014: 103-112
[c506]
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Cheng Ye, Richard C. Wilson, Edwin R. Hancock:
Entropic Graph Embedding via Multivariate Degree Distributions. S+SSPR 2014: 163-172
[c505]
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Francisco Escolano, Boyan Bonev, Edwin R. Hancock:
Quantum vs Classical Ranking in Segment Grouping. S+SSPR 2014: 203-212
[c504]
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Furqan Aziz, Richard C. Wilson, Edwin R. Hancock:
Commute Time for a Gaussian Wave Packet on a Graph. S+SSPR 2014: 374-383
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Eduardo Bayro-Corrochano, Edwin R. Hancock:
Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications - 19th Iberoamerican Congress, CIARP 2014, Puerto Vallarta, Mexico, November 2-5, 2014. Proceedings. Lecture Notes in Computer Science 8827, Springer 2014, ISBN 978-3-319-12567-1 [contents]
[i2]
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Filipi Nascimento Silva, Cesar H. Comin, Thomas K. D. M. Peron, Francisco Aparecido Rodrigues, Cheng Ye, Richard C. Wilson, Edwin R. Hancock, Luciano da F. Costa:
Concentric Symmetry. CoRR abs/1407.0224 (2014)
2013
[j135]
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Cong Phuoc Huynh, Antonio Robles-Kelly, Edwin R. Hancock:
Shape and Refractive Index from Single-View Spectro-Polarimetric Images. Int. J. Comput. Vis. 101(1): 64-94 (2013)
[j134]
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Lu Bai, Edwin R. Hancock:
Graph Kernels from the Jensen-Shannon Divergence. J. Math. Imaging Vis. 47(1-2): 60-69 (2013)
[j133]
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Edwin R. Hancock:
Maria Petrou (1953-2012). Pattern Recognit. 46(7): 1747 (2013)
[j132]
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Edwin R. Hancock, José Francisco Martínez Trinidad, Jesús Ariel Carrasco-Ochoa:
Advances in pattern recognition methodology and applications. Pattern Recognit. Lett. 34(4): 359-360 (2013)
[j131]
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Lichi Zhang, Edwin R. Hancock:
Robust estimation of shape and polarisation using blind source separation. Pattern Recognit. Lett. 34(8): 856-862 (2013)
[j130]
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Furqan Aziz, Richard C. Wilson, Edwin R. Hancock:
Backtrackless Walks on a Graph. IEEE Trans. Neural Networks Learn. Syst. 24(6): 977-989 (2013)
[c503]
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Luca Rossi, Andrea Torsello, Edwin R. Hancock:
Manifold Learning and the Quantum Jensen-Shannon Divergence Kernel. CAIP (1) 2013: 62-69
[c502]
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Lu Bai, Edwin R. Hancock, Lin Han:
A Graph Embedding Method Using the Jensen-Shannon Divergence. CAIP (1) 2013: 102-109
[c501]
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Francisco Escolano, Edwin R. Hancock, Silvia Biasotti:
Complexity Fusion for Indexing Reeb Digraphs. CAIP (1) 2013: 120-127
[c500]
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Furqan Aziz, Richard C. Wilson, Edwin R. Hancock:
Analysis of Wave Packet Signature of a Graph. CAIP (1) 2013: 128-136
[c499]
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Cheng Ye, Richard C. Wilson, Edwin R. Hancock:
Heterogeneity Index for Directed Graphs. CAIP (2) 2013: 424-431
[c498]
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Francisco Escolano, Edwin R. Hancock, Boyan Bonev, Miguel Angel Lozano:
TurboTensors for Entropic Image Comparison. GbRPR 2013: 51-60
[c497]
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Luca Rossi, Andrea Torsello, Edwin R. Hancock:
A Continuous-Time Quantum Walk Kernel for Unattributed Graphs. GbRPR 2013: 101-110
[c496]
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Lu Bai, Edwin R. Hancock, Andrea Torsello, Luca Rossi:
A Quantum Jensen-Shannon Graph Kernel Using the Continuous-Time Quantum Walk. GbRPR 2013: 121-131
[c495]
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Pablo Suau, Edwin R. Hancock, Francisco Escolano:
Graph Characteristics from the Schrödinger Operator. GbRPR 2013: 172-181
[c494]
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Furqan Aziz, Richard C. Wilson, Edwin R. Hancock:
Gaussian Wave Packet on a Graph. GbRPR 2013: 224-233
[c493]
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Muhammad Haseeb, Edwin R. Hancock:
Eigenvector Sign Correction for Spectral Correspondence Matching. ICIAP (2) 2013: 41-50
[c492]
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Lu Bai, Edwin R. Hancock:
A Fast Jensen-Shannon Subgraph Kernel. ICIAP (1) 2013: 181-190
[c491]
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Gule Saman, Edwin R. Hancock:
Estimating Complex Refractive Index Using Ellipsometry. ICIAP (1) 2013: 201-210
[c490]
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Edwin R. Hancock, Eliza Xu, Richard C. Wilson:
Pattern Recognition with Non-Euclidean Similarities. ICMMI 2013: 3-15
[c489]
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Francisco Escolano, Edwin R. Hancock, Meizhu Liu, Miguel Angel Lozano:
Information-Theoretic Dissimilarities for Graphs. SIMBAD 2013: 90-105
[c488]
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Furqan Aziz, Richard C. Wilson, Edwin R. Hancock:
Graph Characterization Using Gaussian Wave Packet Signature. SIMBAD 2013: 176-189
[c487]
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Pablo Suau, Edwin R. Hancock, Francisco Escolano:
Analysis of the Schrödinger Operator in the Context of Graph Characterization. SIMBAD 2013: 190-203
[c486]
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Luca Rossi, Andrea Torsello, Edwin R. Hancock:
Attributed Graph Similarity from the Quantum Jensen-Shannon Divergence. SIMBAD 2013: 204-218
[c485]
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Cheng Ye, Richard C. Wilson, Cesar H. Comin, Luciano da F. Costa, Edwin R. Hancock:
Entropy and Heterogeneity Measures for Directed Graphs. SIMBAD 2013: 219-234
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Peng Ren, Furqan Aziz, Lin Han, Eliza Xu, Richard C. Wilson, Edwin R. Hancock:
Geometricity and Embedding. Similarity-Based Pattern Analysis and Recognition 2013: 121-155
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Richard C. Wilson, Edwin R. Hancock, Adrian G. Bors, William A. P. Smith:
Computer Analysis of Images and Patterns - 15th International Conference, CAIP 2013, York, UK, August 27-29, 2013, Proceedings, Part I. Lecture Notes in Computer Science 8047, Springer 2013, ISBN 978-3-642-40260-9 [contents]
[e12]
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Richard C. Wilson, Edwin R. Hancock, Adrian G. Bors, William A. P. Smith:
Computer Analysis of Images and Patterns - 15th International Conference, CAIP 2013, York, UK, August 27-29, 2013, Proceedings, Part II. Lecture Notes in Computer Science 8048, Springer 2013, ISBN 978-3-642-40245-6 [contents]
[e11]
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Edwin R. Hancock, Marcello Pelillo:
Similarity-Based Pattern Recognition - Second International Workshop, SIMBAD 2013, York, UK, July 3-5, 2013. Proceedings. Lecture Notes in Computer Science 7953, Springer 2013, ISBN 978-3-642-39139-2 [contents]
[i1]
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Richard C. Wilson, Furqan Aziz, Edwin R. Hancock:
Eigenfunctions of the Edge-Based Laplacian on a Graph. CoRR abs/1302.3433 (2013)
2012
[j129]
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Zhihong Zhang, Edwin R. Hancock:
Kernel Entropy-Based Unsupervised spectral Feature Selection. Int. J. Pattern Recognit. Artif. Intell. 26(5) (2012)
[j128]
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Edwin R. Hancock, Richard C. Wilson:
Pattern analysis with graphs: Parallel work at Bern and York. Pattern Recognit. Lett. 33(7): 833-841 (2012)
[j127]
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Lin Han, Francisco Escolano, Edwin R. Hancock, Richard C. Wilson:
Graph characterizations from von Neumann entropy. Pattern Recognit. Lett. 33(15): 1958-1967 (2012)
[j126]
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Zhihong Zhang, Edwin R. Hancock:
Hypergraph based information-theoretic feature selection. Pattern Recognit. Lett. 33(15): 1991-1999 (2012)
[c484]
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  - conf/ais2/MittalSH12
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Ajay Mittal, Sanjeev Sofat, Edwin R. Hancock:
Detection of Edges in Color Images: A Review and Evaluative Comparison of State-of-the-Art Techniques. AIS 2012: 250-259
[c483]
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Ajay Mittal, Sanjeev Sofat, Edwin R. Hancock:
An Efficient Scheme for Color Edge Detection in Uniform Color Space. AIS 2012: 260-267
[c482]
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Zhihong Zhang, Peng Ren, Edwin R. Hancock:
Unsupervised Feature Selection Via Hypergraph Embedding. BMVC 2012: 1-11
[c481]
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Zhihong Zhang, Edwin R. Hancock:
Localized Graph-Based Feature Selection for Clustering. ICIAR (1) 2012: 1-10
[c480]
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Ajay Mittal, Sanjeev Sofat, Edwin R. Hancock, Stéphane Mousset:
A Statistical Operator for Detecting Weak Edges in Low Contrast Images. ICIAR (1) 2012: 89-96
[c479]
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Zhihong Zhang, Edwin R. Hancock:
Face recognition using semi-supervised spectral feature selection. ICPR 2012: 1294-1297
[c478]
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Furqan Aziz, Richard C. Wilson, Edwin R. Hancock:
Shape signature using the edge-based Laplacian. ICPR 2012: 1594-1597
[c477]
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Lin Han, Richard C. Wilson, Edwin R. Hancock, Lu Bai, Peng Ren:
Sampling graphs from a probabilistic generative model. ICPR 2012: 1643-1646
[c476]
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Zhihong Zhang, Edwin R. Hancock, Peng Ren:
Hypergraph based semi-supervised learning for gender classification. ICPR 2012: 1747-1750
[c475]
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Zhihong Zhang, Edwin R. Hancock:
Unsupervised spectral feature selection for face recognition. ICPR 2012: 1787-1790
[c474]
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Lichi Zhang, Edwin R. Hancock:
Simultaneous reflectance estimation and surface shape recovery using polarisation. ICPR 2012: 1876-1879
[c473]
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Lu Bai, Edwin R. Hancock, Peng Ren:
Jensen-Shannon graph kernel using information functionals. ICPR 2012: 2877-2880
[c472]
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Lu Bai, Edwin R. Hancock, Lin Han, Peng Ren:
Graph clustering using graph entropy complexity traces. ICPR 2012: 2881-2884
[c471]
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Jiang Su, Le Dong, Peng Ren, Edwin R. Hancock:
Hypergraph matching based on Marginalized Constrained Compatibility. ICPR 2012: 2922-2925
[c470]
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Lichi Zhang, Edwin R. Hancock:
A comprehensive polarisation model for surface orientation recovery. ICPR 2012: 3791-3794
[c469]
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Zhihong Zhang, Edwin R. Hancock, Xiao Bai:
Hypergraph Spectra for Semi-supervised Feature Selection. ECML/PKDD (1) 2012: 207-222
[c468]
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Simone Ceolin, Edwin R. Hancock:
Computing Gender Difference Using Fisher-Rao Metric from Facial Surface Normals. SIBGRAPI 2012: 336-343
[c467]
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Lin Han, Luca Rossi, Andrea Torsello, Richard C. Wilson, Edwin R. Hancock:
Information Theoretic Prototype Selection for Unattributed Graphs. SSPR/SPR 2012: 33-41
[c466]
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Lu Bai, Edwin R. Hancock:
Graph Complexity from the Jensen-Shannon Divergence. SSPR/SPR 2012: 79-88
[c465]
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Luca Rossi, Andrea Torsello, Edwin R. Hancock:
Approximate Axial Symmetries from Continuous Time Quantum Walks. SSPR/SPR 2012: 144-152
[c464]
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Lu Bai, Edwin R. Hancock, Peng Ren:
A Jensen-Shannon Kernel for Hypergraphs. SSPR/SPR 2012: 181-189
[c463]
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Francisco Escolano, Boyan Bonev, Edwin R. Hancock:
Heat Flow-Thermodynamic Depth Complexity in Directed Networks. SSPR/SPR 2012: 190-198
[c462]
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Muhammad Haseeb, Edwin R. Hancock:
3D Shape Classification Using Commute Time. SSPR/SPR 2012: 208-215
[c461]
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Furqan Aziz, Richard C. Wilson, Edwin R. Hancock:
Shape Analysis Using the Edge-Based Laplacian. SSPR/SPR 2012: 382-390
[c460]
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Lichi Zhang, Edwin R. Hancock, Jing Wu:
Estimating Surface Characteristics and Extracting Features from Polarisation. SSPR/SPR 2012: 400-408
[c459]
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Muhammad Haseeb, Edwin R. Hancock:
Unsupervised Clustering of Human Pose Using Spectral Embedding. SSPR/SPR 2012: 467-473
[c458]
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Zhihong Zhang, Edwin R. Hancock:
Hypergraph Spectra for Unsupervised Feature Selection. SSPR/SPR 2012: 620-628
[e10]
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Georgy L. Gimel'farb, Edwin R. Hancock, Atsushi Imiya, Arjan Kuijper, Mineichi Kudo, Shinichiro Omachi, Terry Windeatt, Keiji Yamada:
Structural, Syntactic, and Statistical Pattern Recognition - Joint IAPR International Workshop, SSPR&SPR 2012, Hiroshima, Japan, November 7-9, 2012. Proceedings. Lecture Notes in Computer Science 7626, Springer 2012, ISBN 978-3-642-34165-6 [contents]
2011
[j125]
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Edwin R. Hancock, Andrea Torsello, Francisco Escolano, Luc Brun:
Special issue on Graph-Based Representations in Computer Vision. Comput. Vis. Image Underst. 115(7): 903-904 (2011)
[j124]
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Michal Kawulok, Jing Wu, Edwin R. Hancock:
Supervised relevance maps for increasing the distinctiveness of facial images. Pattern Recognit. 44(4): 929-939 (2011)
[j123]
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Peng Ren, Tatjana M. Aleksic, Richard C. Wilson, Edwin R. Hancock:
A polynomial characterization of hypergraphs using the Ihara zeta function. Pattern Recognit. 44(9): 1941-1957 (2011)
[j122]
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Jian Cheng, Jinjun Wang, Shuqiang Jiang, Zhi-Hua Zhou, Edwin R. Hancock:
Special edition on semi-supervised learning for visual content analysis and understanding. Pattern Recognit. 44(10-11): 2242-2243 (2011)
[j121]
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Jing Wu, William A. P. Smith, Edwin R. Hancock:
Gender discriminating models from facial surface normals. Pattern Recognit. 44(12): 2871-2886 (2011)
[j120]
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Peng Ren, Tatjana M. Aleksic, David Emms, Richard C. Wilson, Edwin R. Hancock:
Quantum walks, Ihara zeta functions and cospectrality in regular graphs. Quantum Inf. Process. 10(3): 405-417 (2011)
[j119]
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Peng Ren, Richard C. Wilson, Edwin R. Hancock:
Graph Characterization via Ihara Coefficients. IEEE Trans. Neural Networks 22(2): 233-245 (2011)
[c457]
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Fang Liu, Edwin R. Hancock, William A. P. Smith:
Facial Expression Recognition Using Nonrigid Motion Parameters and Shape-from-Shading. CAIP (2) 2011: 105-113
[c456]
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Lichi Zhang, Edwin R. Hancock:
Robust Shape and Polarisation Estimation Using Blind Source Separation. CAIP (1) 2011: 178-185
[c455]
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Francisco Escolano, Edwin R. Hancock:
From Points to Nodes: Inverse Graph Embedding through a Lagrangian Formulation. CAIP (1) 2011: 194-201
[c454]
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Furqan Aziz, Richard C. Wilson, Edwin R. Hancock:
Kernelising the Ihara Zeta Function. CAIP (1) 2011: 219-227
[c453]
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Zhihong Zhang, Edwin R. Hancock:
A Hypergraph-Based Approach to Feature Selection. CAIP (1) 2011: 228-235
[c452]
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Lu Bai, Edwin R. Hancock:
Graph Clustering Using the Jensen-Shannon Kernel. CAIP (1) 2011: 394-401
[c451]
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Gule Saman, Edwin R. Hancock:
Refractive Index Estimation Using Polarisation and Photometric Stereo. CAIP (2) 2011: 548-554
[c450]
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Weiping Xu, Richard C. Wilson, Edwin R. Hancock:
Determining the Cause of Negative Dissimilarity Eigenvalues. CAIP (1) 2011: 589-597
[c449]
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Francisco Escolano, Edwin R. Hancock, Miguel Angel Lozano:
Graph matching through entropic manifold alignment. CVPR 2011: 2417-2424
[c448]
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Lin Han, Edwin R. Hancock, Richard C. Wilson:
Entropy versus Heterogeneity for Graphs. GbRPR 2011: 32-41
[c447]
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Lin Han, Edwin R. Hancock, Richard C. Wilson:
Learning Generative Graph Prototypes Using Simplified von Neumann Entropy. GbRPR 2011: 42-51
[c446]
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Zhihong Zhang, Edwin R. Hancock:
A Graph-Based Approach to Feature Selection. GbRPR 2011: 205-214
[c445]
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Zhihong Zhang, Edwin R. Hancock:
Feature Selection for Gender Classification. IbPRIA 2011: 76-83
[c444]
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Weiping Xu, Edwin R. Hancock, Richard C. Wilson:
Rectifying Non-euclidean Similarity Data through Tangent Space Reprojection. IbPRIA 2011: 379-386
[c443]
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Nitya Subramaniam, Gule Saman, Edwin R. Hancock:
Natural Material Segmentation and Classification Using Polarisation. IbPRIA 2011: 468-475
[c442]
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Lichi Zhang, Edwin R. Hancock, Gary A. Atkinson:
Reflection Component Separation Using Statistical Analysis and Polarisation. IbPRIA 2011: 476-483
[c441]
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Lin Han, Edwin R. Hancock, Richard C. Wilson:
Characterizing Graphs Using Approximate von Neumann Entropy. IbPRIA 2011: 484-491
[c440]
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Edwin R. Hancock, Lin Han, Richard C. Wilson:
Information theoretic methods for learning generative models for relational structures. ICCV Workshops 2011: 692-693
[c439]
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Zhihong Zhang, Edwin R. Hancock, Jing Wu:
An information theoretic approach to gender feature selection. ICCV Workshops 2011: 1425-1431
[c438]
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Francisco Escolano, Meizhu Liu, Edwin R. Hancock:
Tensor-based total bregman divergences between graphs. ICCV Workshops 2011: 1440-1447
[c437]
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Peng Ren, Richard C. Wilson, Edwin R. Hancock:
High Order Structural Matching Using Dominant Cluster Analysis. ICIAP (1) 2011: 1-8
[c436]
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Gule Saman, Edwin R. Hancock:
Refractive Index Estimation of Naturally Occurring Surfaces Using Photometric Stereo. ICIAP (1) 2011: 267-275
[c435]
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Na Li, Edwin R. Hancock, Xiaoshi Zheng, Lin Han:
Improved Content-Based Watermarking Using Scale-Invariant Feature Points. ICIAP (1) 2011: 636-649
[c434]
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  - conf/iciar/ZhuHYZA11
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En Zhu, Edwin R. Hancock, Jianping Yin, Jianming Zhang, Huiyao An:
Fusion of Multiple Candidate Orientations in Fingerprints. ICIAR (2) 2011: 89-100
[c433]
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Gule Saman, Edwin Robert Hancock:
Refractive index estimation using photometric stereo. ICIP 2011: 1925-1928
[c432]
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  - conf/simbad/HanHW11
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Lin Han, Edwin R. Hancock, Richard C. Wilson:
An Information Theoretic Approach to Learning Generative Graph Prototypes. SIMBAD 2011: 133-148
[c431]
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Furqan Aziz, Richard C. Wilson, Edwin R. Hancock:
Graph Characterization via Backtrackless Paths. SIMBAD 2011: 149-162
[c430]
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Zhihong Zhang, Edwin R. Hancock:
Mutual Information Criteria for Feature Selection. SIMBAD 2011: 235-249
[c429]
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  - conf/simbad/HaseebH11
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Muhammad Haseeb, Edwin R. Hancock:
Feature Point Matching Using a Hermitian Property Matrix. SIMBAD 2011: 321-332
[e9]
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  - conf/mcpr2/2011
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José Francisco Martínez Trinidad, Jesús Ariel Carrasco-Ochoa, Cherif Ben-Youssef Brants, Edwin Robert Hancock:
Pattern Recognition - Third Mexican Conference, MCPR 2011, Cancun, Mexico, June 29 - July 2, 2011. Proceedings. Lecture Notes in Computer Science 6718, Springer 2011, ISBN 978-3-642-21586-5 [contents]
[e8]
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Marcello Pelillo, Edwin R. Hancock:
Similarity-Based Pattern Recognition - First International Workshop, SIMBAD 2011, Venice, Italy, September 28-30, 2011. Proceedings. Lecture Notes in Computer Science 7005, Springer 2011, ISBN 978-3-642-24470-4 [contents]
2010
[j118]
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William A. P. Smith, Edwin R. Hancock:
Estimating Facial Reflectance Properties Using Shape-from-Shading. Int. J. Comput. Vis. 86(2-3): 152-170 (2010)
[j117]
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Xiao Bai, Edwin R. Hancock, Hang Yu:
Manifold embedding for shape analysis. Neurocomputing 73(10-12): 1606-1613 (2010)
[j116]
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Xiao Bai, Edwin R. Hancock, Richard C. Wilson:
Geometric characterization and clustering of graphs using heat kernel embeddings. Image Vis. Comput. 28(6): 1003-1021 (2010)
[j115]
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Jing Wu, William A. P. Smith, Edwin R. Hancock:
Facial gender classification using shape-from-shading. Image Vis. Comput. 28(6): 1039-1048 (2010)
[j114]
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Ioannis Patras, Edwin R. Hancock:
Coupled Prediction Classification for Robust Visual Tracking. IEEE Trans. Pattern Anal. Mach. Intell. 32(9): 1553-1567 (2010)
[j113]
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Fan Zhang, Edwin R. Hancock:
New Riemannian techniques for directional and tensorial image data. Pattern Recognit. 43(4): 1590-1606 (2010)
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Cong Phuoc Huynh, Antonio Robles-Kelly, Edwin R. Hancock:
Shape and refractive index recovery from single-view polarisation images. CVPR 2010: 1229-1236
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Richard C. Wilson, Edwin R. Hancock, Elzbieta Pekalska, Robert P. W. Duin:
Spherical embeddings for non-Euclidean dissimilarities. CVPR 2010: 1903-1910
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En Zhu, Edwin R. Hancock, Peng Ren, Jianping Yin, Jianming Zhang:
Associating Minutiae between Distorted Fingerprints Using Minimal Spanning Tree. ICIAR (2) 2010: 235-245
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Simone Ceolin, Edwin R. Hancock:
Using the Fisher-Rao Metric to Compute Facial Similarity. ICIAR (1) 2010: 384-393
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Simone Ceolin, Edwin R. Hancock:
Distinguishing facial expression using the Fisher-Rao metric. ICIP 2010: 1437-1440
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Nitya Subramaniam, Gule Saman, Edwin R. Hancock:
Detection of skin lesions using diffuse polarisation. ICIP 2010: 3021-3024
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Cong Phuoc Huynh, Antonio Robles-Kelly, Edwin R. Hancock:
Robust Shape from Polarisation and Shading. ICPR 2010: 810-813
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Shengping Xia, Jianjun Liu, Edwin R. Hancock:
Mining Exemplars for Object Modelling Using Affinity Propagation. ICPR 2010: 918-921
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Gule Saman, Edwin R. Hancock:
Robust Computation of the Polarisation Image. ICPR 2010: 971-974
[c419]
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Lin Han, Richard C. Wilson, Edwin R. Hancock:
A Supergraph-based Generative Model. ICPR 2010: 1566-1569
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Francisco Escolano, Miguel Angel Lozano, Edwin R. Hancock:
Heat Flow-Thermodynamic Depth Complexity in Networks. ICPR 2010: 1578-1581
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Chengming Zou, Edwin R. Hancock:
Recovering 3D Shape Using an Improved Fast Marching Method. ICPR 2010: 1678-1681
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Weiping Xu, Edwin R. Hancock, Richard C. Wilson:
Rectifying Non-Euclidean Similarity Data Using Ricci Flow Embedding. ICPR 2010: 3324-3327
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Simone Ceolin, Edwin R. Hancock:
Characterising Facial Gender Difference Using Fisher-Rao Metric. ICPR 2010: 4308-4311
[c414]
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Chengming Zou, Edwin R. Hancock:
Face Recognition Using Simplicial Complexes. MCPR 2010: 22-29
[c413]
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Nitya Subramaniam, Edwin R. Hancock:
Surface Material Segmentation Using Polarisation. MCPR 2010: 115-124
[c412]
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Hewayda ElGhawalby, Edwin R. Hancock:
Graph Embedding Using an Edge-Based Wave Kernel. SSPR/SPR 2010: 60-69
[c411]
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Shengping Xia, Rui Song, Edwin R. Hancock:
Affinity Propagation for Class Exemplar Mining. SSPR/SPR 2010: 191-201
[c410]
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Francisco Escolano, Miguel Angel Lozano, Edwin R. Hancock, Daniela Giorgi:
What Is the Complexity of a Network? The Heat Flow-Thermodynamic Depth Approach. SSPR/SPR 2010: 286-295
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Normawati A. Rahman, Edwin R. Hancock:
Commute-Time Convolution Kernels for Graph Clustering. SSPR/SPR 2010: 316-323
[c408]
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Weiping Xu, Edwin R. Hancock, Richard C. Wilson:
Regularising the Ricci Flow Embedding. SSPR/SPR 2010: 579-588
[c407]
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Richard C. Wilson, Edwin R. Hancock:
Spherical Embedding and Classification. SSPR/SPR 2010: 589-599
[c406]
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Peng Ren, Tatjana M. Aleksic, Richard C. Wilson, Edwin R. Hancock:
Ihara Coefficients: A Flexible Tool for Higher Order Learning. SSPR/SPR 2010: 670-679
[c405]
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Edwin R. Hancock:
Spectral Approaches to Learning in the Graph Domain. TextGraphs@ACL 2010: 47
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Edwin R. Hancock, Richard C. Wilson, Terry Windeatt, Ilkay Ulusoy, Francisco Escolano:
Structural, Syntactic, and Statistical Pattern Recognition, Joint IAPR International Workshop, SSPR&SPR 2010, Cesme, Izmir, Turkey, August 18-20, 2010. Proceedings. Lecture Notes in Computer Science 6218, Springer 2010, ISBN 978-3-642-14979-5 [contents]

2000 – 2009

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2009
[j112]
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Xiao Bai, Edwin R. Hancock, Richard C. Wilson:
A generative model for graph matching and embedding. Comput. Vis. Image Underst. 113(7): 777-789 (2009)
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David Emms, Richard C. Wilson, Edwin R. Hancock:
Graph matching using the interference of discrete-time quantum walks. Image Vis. Comput. 27(7): 934-949 (2009)
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Fan Zhang, Edwin R. Hancock, Casey Goodlett, Guido Gerig:
Probabilistic white matter fiber tracking using particle filtering and von Mises-Fisher sampling. Medical Image Anal. 13(1): 5-18 (2009)
[j109]
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David Emms, Richard C. Wilson, Edwin R. Hancock:
Graph matching using the interference of continuous-time quantum walks. Pattern Recognit. 42(5): 985-1002 (2009)
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David Emms, Simone Severini, Richard C. Wilson, Edwin R. Hancock:
Coined quantum walks lift the cospectrality of graphs and trees. Pattern Recognit. 42(9): 1988-2002 (2009)
[j107]
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David Emms, Richard C. Wilson, Edwin R. Hancock:
Erratum to: Graph matching using the interference of continuous-time quantum walks [Pattern Recognition 42 (5) 985-1002]. Pattern Recognit. 42(9): 2218 (2009)
[j106]
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Xiao Bai, Edwin R. Hancock, Richard C. Wilson:
Graph characteristics from the heat kernel trace. Pattern Recognit. 42(11): 2589-2606 (2009)
[j105]
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David Emms, Richard C. Wilson, Edwin R. Hancock:
Graph embedding using a quasi-quantum analogue of the hitting times of continuous time quantum walks. Quantum Inf. Comput. 9(3&4): 231-254 (2009)
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Jing Wu, William A. P. Smith, Edwin R. Hancock:
Semi-supervised Feature Selection for Gender Classification. ACCV (2) 2009: 23-33
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Shengping Xia, Edwin R. Hancock:
Incrementally Discovering Object Classes Using Similarity Propagation and Graph Clustering. ACCV (3) 2009: 373-383
[c402]
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Peng Ren, Tatjana M. Aleksic, Richard C. Wilson, Edwin R. Hancock:
Hypergraphs, Characteristic Polynomials and the Ihara Zeta Function. CAIP 2009: 369-376
[c401]
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Shengping Xia, Edwin R. Hancock:
Graph-Based Object Class Discovery. CAIP 2009: 385-393
[c400]
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William A. P. Smith, Edwin R. Hancock:
A unified model of specular and diffuse reflectance for rough, glossy surfaces. CVPR 2009: 643-650
[c399]
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Shengping Xia, Edwin R. Hancock:
Pairwise Similarity Propagation Based Graph Clustering for Scalable Object Indexing and Retrieval. GbRPR 2009: 184-194
[c398]
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Hewayda ElGhawalby, Edwin R. Hancock:
Graph Regularisation Using Gaussian Curvature. GbRPR 2009: 233-242
[c397]
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Peng Ren, Richard C. Wilson, Edwin R. Hancock:
Characteristic Polynomial Analysis on Matrix Representations of Graphs. GbRPR 2009: 243-252
[c396]
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Francisco Escolano, Daniela Giorgi, Edwin R. Hancock, Miguel Angel Lozano, Bianca Falcidieno:
Flow Complexity: Fast Polytopal Graph Complexity and 3D Object Clustering. GbRPR 2009: 253-262
[c395]
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Hewayda ElGhawalby, Edwin R. Hancock:
Characterizing Graphs Using Spherical Triangles. IbPRIA 2009: 465-472
[c394]
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Peng Ren, Richard C. Wilson, Edwin R. Hancock:
Weighted graph characteristics from oriented line graph polynomials. ICCV 2009: 2280-2287
[c393]
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Dongjun Yu, Edwin R. Hancock, William A. P. Smith:
A Riemannian Self-Organizing Map. ICIAP 2009: 229-238
[c392]
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Shengping Xia, Edwin R. Hancock:
Learning Class Specific Graph Prototypes. ICIAP 2009: 269-277
[c391]
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Chengming Zou, Guanghui Zhao, Edwin R. Hancock:
Reconstructing 3D Facial Shape Using Spherical Harmonics. ICIAP 2009: 949-957
[c390]
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Shengping Xia, Edwin R. Hancock:
Learning Large Scale Class Specific Hyper Graphs for Object Recognition. ICIG 2009: 366-371
[c389]
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Jing Wu, William A. P. Smith, Edwin R. Hancock, Michal Kawulok:
Extracting gender discriminating features from facial needle-maps. ICIP 2009: 2449-2452
[c388]
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William A. P. Smith, Edwin R. Hancock:
Specular and diffuse reflectance in microfacet models. ICIP 2009: 3781-3784
[c387]
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Hewayda ElGhawalby, Edwin R. Hancock:
Geometric Characterizations of Graphs Using Heat Kernel Embeddings. IMA Conference on the Mathematics of Surfaces 2009: 124-142
[c386]
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Dongjun Yu, Edwin R. Hancock, William A. P. Smith:
Learning a Self-organizing Map Model on a Riemannian Manifold. IMA Conference on the Mathematics of Surfaces 2009: 375-390
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Edwin R. Hancock, Ralph R. Martin, Malcolm A. Sabin:
Mathematics of Surfaces XIII, 13th IMA International Conference, York, UK, September 7-9, 2009, Proceedings. Lecture Notes in Computer Science 5654, Springer 2009, ISBN 978-3-642-03595-1 [contents]
2008
[j104]
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Gary A. Atkinson, Edwin R. Hancock:
Two-dimensional BRDF estimation from polarisation. Comput. Vis. Image Underst. 111(2): 126-141 (2008)
[j103]
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William A. P. Smith, Edwin R. Hancock:
Facial Shape-from-shading and Recognition Using Principal Geodesic Analysis and Robust Statistics. Int. J. Comput. Vis. 76(1): 71-91 (2008)
[j102]
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Hossein Ragheb, Edwin R. Hancock:
A Light Scattering Model for Layered Dielectrics with Rough Surface Boundaries. Int. J. Comput. Vis. 79(2): 179-207 (2008)
[j101]
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Xiao Bai, Andrea Torsello, Edwin R. Hancock:
Isotree: Tree clustering via metric embedding. Neurocomputing 71(10-12): 2029-2036 (2008)
[j100]
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Xianfang Sun, Edwin R. Hancock:
Quasi-isometric parameterization for texture mapping. Pattern Recognit. 41(5): 1732-1743 (2008)
[j99]
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Fan Zhang, Edwin R. Hancock:
Graph spectral image smoothing using the heat kernel. Pattern Recognit. 41(11): 3328-3342 (2008)
[j98]
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Hongfang Wang, Edwin R. Hancock:
Probabilistic relaxation labelling using the Fokker-Planck equation. Pattern Recognit. 41(11): 3393-3411 (2008)
[c385]
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William A. P. Smith, Edwin R. Hancock:
Recovering face shape and reflectance properties from single images. FG 2008: 1-8
[c384]
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Hewayda ElGhawalby, Edwin R. Hancock:
Measuring Graph Similarity Using Spectral Geometry. ICIAR 2008: 517-526
[c383]
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Jing Wu, William A. P. Smith, Edwin R. Hancock:
Facial Gender Classification Using Shape from Shading and Weighted Principal Geodesic Analysis. ICIAR 2008: 925-934
[c382]
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Simone Ceolin, William A. P. Smith, Edwin R. Hancock:
Facial Shape Spaces from Surface Normals. ICIAR 2008: 955-965
[c381]
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Matthew P. Dickens, William A. P. Smith, Hossein Ragheb, Edwin R. Hancock:
Measuring skin reflectance parameters. ICPR 2008: 1-4
[c380]
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David Emms, Edwin R. Hancock, Richard C. Wilson:
Graph drawing using quantum commute time. ICPR 2008: 1-4
[c379]
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Francisco Escolano, Edwin R. Hancock, Miguel Angel Lozano:
Birkhoff polytopes, heat kernels and graph complexity. ICPR 2008: 1-5
[c378]
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Peng Ren, Richard C. Wilson, Edwin R. Hancock:
Pattern vectors from the Ihara zeta function. ICPR 2008: 1-4
[c377]
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Jing Wu, William A. P. Smith, Edwin R. Hancock:
Gender classification based on facial surface normals. ICPR 2008: 1-4
[c376]
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Shengping Xia, Peng Ren, Edwin R. Hancock:
Ranking the local invariant features for the robust visual saliencies. ICPR 2008: 1-4
[c375]
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Xiao Bai, Richard C. Wilson, Edwin R. Hancock:
Object recognition using graph spectral invariants. ICPR 2008: 1-4
[c374]
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David Emms, Richard C. Wilson, Edwin R. Hancock:
Graph Edit Distance without Correspondence from Continuous-Time Quantum Walks. SSPR/SPR 2008: 5-14
[c373]
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Shengping Xia, Edwin R. Hancock:
3D Object Recognition Using Hyper-Graphs and Ranked Local Invariant Features. SSPR/SPR 2008: 117-126
[c372]
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James C. A. Sharpe, Edwin R. Hancock:
Recognising Facial Expressions Using Spherical Harmonics. SSPR/SPR 2008: 157-166
[c371]
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Hewayda ElGhawalby, Edwin R. Hancock:
Graph Characteristic from the Gauss-Bonnet Theorem. SSPR/SPR 2008: 207-216
[c370]
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Xiao Bai, Richard C. Wilson, Edwin R. Hancock:
Quantitative Evaluation on Heat Kernel Permutation Invariants. SSPR/SPR 2008: 217-226
[c369]
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Francisco Escolano, Edwin R. Hancock, Miguel Angel Lozano:
Polytopal Graph Complexity, Matrix Permanents, and Embedding. SSPR/SPR 2008: 237-246
[c368]
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Peng Ren, Richard C. Wilson, Edwin R. Hancock:
Graph Characteristics from the Ihara Zeta Function. SSPR/SPR 2008: 257-266
[c367]
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Peng Ren, Richard C. Wilson, Edwin R. Hancock:
Spectral Embedding of Feature Hypergraphs. SSPR/SPR 2008: 308-317
[c366]
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Shengping Xia, Edwin R. Hancock:
Clustering Using Class Specific Hyper Graphs. SSPR/SPR 2008: 318-328
[c365]
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Jing Wu, William A. P. Smith, Edwin R. Hancock:
Supervised Principal Geodesic Analysis on Facial Surface Normals for Gender Classification. SSPR/SPR 2008: 664-673
2007
[j97]
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Andrea Torsello, Antonio Robles-Kelly, Edwin R. Hancock:
Discovering Shape Classes using Tree Edit-Distance and Pairwise Clustering. Int. J. Comput. Vis. 72(3): 259-285 (2007)
[j96]
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Huaijun Qiu, Edwin R. Hancock:
Clustering and Embedding Using Commute Times. IEEE Trans. Pattern Anal. Mach. Intell. 29(11): 1873-1890 (2007)
[j95]
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Gary A. Atkinson, Edwin R. Hancock:
Shape Estimation Using Polarization and Shading from Two Views. IEEE Trans. Pattern Anal. Mach. Intell. 29(11): 2001-2017 (2007)
[j94]
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Antonio Robles-Kelly, Edwin R. Hancock:
A Riemannian approach to graph embedding. Pattern Recognit. 40(3): 1042-1056 (2007)
[j93]
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Andrea Torsello, Edwin R. Hancock:
Graph embedding using tree edit-union. Pattern Recognit. 40(5): 1393-1405 (2007)
[j92]
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Hossein Ragheb, Edwin R. Hancock:
The modified Beckmann-Kirchhoff scattering theory for rough surface analysis. Pattern Recognit. 40(7): 2004-2020 (2007)
[j91]
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Ilkay Ulusoy, Edwin R. Hancock:
A statistical approach to sparse multi-scale phase-based stereo. Pattern Recognit. 40(9): 2504-2520 (2007)
[j90]
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Huaijun Qiu, Edwin R. Hancock:
Graph simplification and matching using commute times. Pattern Recognit. 40(10): 2874-2889 (2007)
[j89]
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Antonio Robles-Kelly, Edwin R. Hancock:
Shape-From-Shading Using the Heat Equation. IEEE Trans. Image Process. 16(1): 7-21 (2007)
[j88]
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Mario Castelán, William A. P. Smith, Edwin R. Hancock:
A Coupled Statistical Model for Face Shape Recovery From Brightness Images. IEEE Trans. Image Process. 16(4): 1139-1151 (2007)
[c364]
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William A. P. Smith, Edwin R. Hancock:
A New Framework for Grayscale and Colour Non-lambertian Shape-from-Shading. ACCV (2) 2007: 869-880
[c363]
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Jixin Ma, Guoxing Zhao, Edwin R. Hancock:
A Navigation-based Algorithm for Matching Scenario Patterns. Artificial Intelligence and Pattern Recognition 2007: 151-157
[c362]
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Jing Wu, William A. P. Smith, Edwin R. Hancock:
Gender Classification using Shape from Shading. BMVC 2007: 1-10
[c361]
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Michael P. Ewbank, William A. P. Smith, Edwin R. Hancock, Timothy J. Andrews:
Testing Viewpoint Invariance in the Neural Representation of Faces: An MEG Study. BVAI 2007: 52-61
[c360]
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Matthew P. Dickens, Edwin R. Hancock:
Estimating Reflectance Functions Using a Cyberware 3030 Scanner. CAIP 2007: 342-350
[c359]
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Mario Castelán, Edwin R. Hancock:
Face Shape Recovery and Recognition Using a Surface Gradient Based Statistical Model. CAIP 2007: 399-407
[c358]
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Gary A. Atkinson, Edwin R. Hancock:
Surface Reconstruction Using Polarization and Photometric Stereo. CAIP 2007: 466-473
[c357]
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David Emms, Edwin R. Hancock, Richard C. Wilson:
Graph Similarity Using Interfering Quantum Walks. CAIP 2007: 823-831
[c356]
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Jing Wu, William A. P. Smith, Edwin R. Hancock:
Weighted Principal Geodesic Analysis for Facial Gender Classification. CIARP 2007: 331-339
[c355]
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Ioannis Patras, Edwin R. Hancock:
Regression tracking with data relevance determination. CVPR 2007
[c354]
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  - conf/dicta/CeolinSH07
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Simone Ceolin, William A. P. Smith, Edwin R. Hancock:
Facial Shape Spaces from Surface Normals and Geodesic Distance. DICTA 2007: 416-423
[c353]
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Fan Zhang, Casey Goodlett, Edwin R. Hancock, Guido Gerig:
Probabilistic Fiber Tracking Using Particle Filtering and Von Mises-Fisher Sampling. EMMCVPR 2007: 303-317
[c352]
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David Emms, Edwin R. Hancock, Richard C. Wilson:
A Correspondence Measure for Graph Matching Using the Discrete Quantum Walk. GbRPR 2007: 81-91
[c351]
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Fan Zhang, Edwin R. Hancock:
Graph Spectral Image Smoothing. GbRPR 2007: 191-203
[c350]
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Hongfang Wang, Edwin R. Hancock:
Probabilistic Relaxation Labeling by Fokker-Planck Diffusion on a Graph. GbRPR 2007: 204-214
[c349]
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David Emms, Richard C. Wilson, Edwin R. Hancock:
Graph Embedding Using Quantum Commute Times. GbRPR 2007: 371-382
[c348]
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Jing Wu, William A. P. Smith, Edwin R. Hancock:
Learning Mixture Models for Gender Classification Based on Facial Surface Normals. IbPRIA (1) 2007: 39-46
[c347]
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Roberto Fraile, Edwin R. Hancock:
Spectral Modes of Facial Needle-Maps. IbPRIA (1) 2007: 169-176
[c346]
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Gary A. Atkinson, Edwin R. Hancock:
Robust Estimation of Reflectance Functions from Polarization. IbPRIA (2) 2007: 363-371
[c345]
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Matthew P. Dickens, William A. P. Smith, Jing Wu, Edwin R. Hancock:
Face Recognition Using Principal Geodesic Analysis and Manifold Learning. IbPRIA (1) 2007: 426-434
[c344]
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Hongfang Wang, Edwin R. Hancock:
Kernelised Relaxation Labelling using Fokker-Planck Diffusion. ICIAP 2007: 29-34
[c343]
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William A. P. Smith, Edwin R. Hancock:
Surface Integration: Two Statistical Approaches. ICIAP 2007: 343-350
[c342]
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Ioannis Patras, Edwin R. Hancock:
Template Trackingwith Observation Relevance Determination. ICIP (1) 2007: 501-504
[c341]
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William A. P. Smith, Edwin R. Hancock:
Facial Shape-from-Shading Using Principal Geodesic Analysis and Robust Statistics. IMA Conference on the Mathematics of Surfaces 2007: 412-426
[c340]
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William A. P. Smith, Edwin R. Hancock:
Statistical Methods for Surface Integration. IMA Conference on the Mathematics of Surfaces 2007: 427-441
[c339]
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Fan Zhang, Casey Goodlett, Edwin R. Hancock, Guido Gerig:
Probabilistic Fiber Tracking Using Particle Filtering. MICCAI (2) 2007: 144-152
[c338]
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Yang Li, William A. P. Smith, Edwin R. Hancock:
Face Recognition with Irregular Region Spin Images. SCIA 2007: 730-739
[c337]
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Ioannis Patras, Edwin R. Hancock:
Regression-Based Template Tracking in Presence of Occlusions. WIAMIS 2007: 15
2006
[j87]
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David Emms, Edwin R. Hancock, Simone Severini, Richard C. Wilson:
A Matrix Representation of Graphs and its Spectrum as a Graph Invariant. Electron. J. Comb. 13(1) (2006)
[j86]
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Hossein Ragheb, Edwin R. Hancock:
Testing new variants of the Beckmann-Kirchhoff model against radiance data. Comput. Vis. Image Underst. 102(2): 145-168 (2006)
[j85]
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Mario Castelán, Edwin R. Hancock:
Acquiring height data from a single image of a face using local shape indicators. Comput. Vis. Image Underst. 103(1): 64-79 (2006)
[j84]
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William A. P. Smith, Edwin R. Hancock:
Estimating Facial Albedo from a Single Image. Int. J. Pattern Recognit. Artif. Intell. 20(6): 955-970 (2006)
[j83]
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Andrea Torsello, Edwin R. Hancock:
Learning Shape-Classes Using a Mixture of Tree-Unions. IEEE Trans. Pattern Anal. Mach. Intell. 28(6): 954-967 (2006)
[j82]
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William A. P. Smith, Edwin R. Hancock:
Recovering Facial Shape Using a Statistical Model of Surface Normal Direction. IEEE Trans. Pattern Anal. Mach. Intell. 28(12): 1914-1930 (2006)
[j81]
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Huaijun Qiu, Edwin R. Hancock:
Graph matching and clustering using spectral partitions. Pattern Recognit. 39(1): 22-34 (2006)
[j80]
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Hongfang Wang, Edwin R. Hancock:
Correspondence matching using kernel principal components analysis and label consistency constraints. Pattern Recognit. 39(6): 1012-1025 (2006)
[j79]
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Bin Luo, Richard C. Wilson, Edwin R. Hancock:
A spectral approach to learning structural variations in graphs. Pattern Recognit. 39(6): 1188-1198 (2006)
[j78]
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Andrea Torsello, Edwin R. Hancock:
Correcting curvature-density effects in the Hamilton-Jacobi skeleton. IEEE Trans. Image Process. 15(4): 877-891 (2006)
[j77]
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Gary A. Atkinson, Edwin R. Hancock:
Recovery of surface orientation from diffuse polarization. IEEE Trans. Image Process. 15(6): 1653-1664 (2006)
[c336]
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Hossein Ragheb, Edwin R. Hancock:
Reflectance Modeling for Layered Dielectrics with Rough Surface Boundaries. 3DPVT 2006: 302-309
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Fan Zhang, Edwin R. Hancock:
Tensor MRI Regularization via Graph Diffusion. BMVC 2006: 589-598
[c334]
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William A. P. Smith, Edwin R. Hancock:
Facial Shape Estimation in the Presence of Cast Shadows. BMVC 2006: 779-788
[c333]
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Jing Wu, William A. P. Smith, Edwin R. Hancock:
Gender Classification Using Principal Geodesic Analysis and Gaussian Mixture Models. CIARP 2006: 58-67
[c332]
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Mario Castelán, William A. P. Smith, Edwin R. Hancock:
Approximating 3D Facial Shape from Photographs Using Coupled Statistical Models. CIARP 2006: 89-98
[c331]
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Yang Li, William A. P. Smith, Edwin R. Hancock:
Face Recognition with Region Division and Spin Images. CIARP 2006: 109-117
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Gary A. Atkinson, Edwin R. Hancock:
Polarization-based Surface Reconstruction via Patch Matching. CVPR (1) 2006: 495-502
[c329]
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William A. P. Smith, Edwin R. Hancock:
Face Recognition using 2.5D Shape Information. CVPR (2) 2006: 1407-1414
[c328]
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Huaijun Qiu, Edwin R. Hancock:
Robust Multi-body Motion Tracking Using Commute Time Clustering. ECCV (1) 2006: 160-173
[c327]
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Hongfang Wang, Edwin R. Hancock:
A Graph Spectral Approach to Consistent Labelling. ICIAR (2) 2006: 57-68
[c326]
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Mario Castelán, Edwin R. Hancock:
Using Cartesian Models of Faces with a Data-Driven and Integrable Fitting Framework. ICIAR (2) 2006: 134-145
[c325]
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Hossein Ragheb, Edwin R. Hancock:
A Light Scattering Model for Layered Rough Surfaces. ICIAR (2) 2006: 169-180
[c324]
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Huaijun Qiu, Edwin R. Hancock:
Spanning Trees from the Commute Times of Random Walks on Graphs. ICIAR (2) 2006: 375-385
[c323]
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Fan Zhang, Edwin R. Hancock:
Edge Detection and Anisotropic Diffusion for Tensor-Valued Images. ICIP 2006: 229-232
[c322]
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Fan Zhang, Edwin R. Hancock:
Heat Kernel Smoothing of Scalar and Vector Image Data. ICIP 2006: 1549-1552
[c321]
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Roberto Fraile, Edwin R. Hancock:
Combinatorial Surface Integration. ICPR (1) 2006: 59-62
[c320]
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William A. P. Smith, Edwin R. Hancock:
Estimating Cast Shadows using SFS and Class-based Surface Completion. ICPR (4) 2006: 86-90
[c319]
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David Emms, Edwin R. Hancock, Richard C. Wilson:
Graph Matching using Interference of Coined Quantum Walks. ICPR (3) 2006: 133-136
[c318]
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Hang Yu, Edwin R. Hancock:
String Kernels for Matching Seriated Graphs. ICPR (4) 2006: 224-228
[c317]
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Mario Castelán, Edwin R. Hancock:
A Simple Coupled Statistical Model for 3D Face Shape Recovery. ICPR (1) 2006: 231-234
[c316]
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Mario Castelán, Edwin R. Hancock:
A Facial Statistical Model from Complex Numbers. ICPR (1) 2006: 235-238
[c315]
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Yang Li, William A. P. Smith, Edwin R. Hancock:
Face Recognition using Patch-based Spin Images. ICPR (1) 2006: 408-411
[c314]
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Hossein Ragheb, Edwin R. Hancock:
Reflectance from Surfaces with Layers of Variable Roughness. ICPR (1) 2006: 543-546
[c313]
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Fan Zhang, Edwin R. Hancock:
A Riemannian Weighted Filter for Edge-sensitive Image Smoothing. ICPR (3) 2006: 594-598
[c312]
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Hongfang Wang, Edwin R. Hancock:
Probabilistic Relaxation using the Heat Equation. ICPR (2) 2006: 666-669
[c311]
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Huaijun Qiu, Edwin R. Hancock:
Graph Matching using Commute Time Spanning Tr. ICPR (4) 2006: 955
[c310]
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Huaijun Qiu, Edwin R. Hancock:
Graph Matching using Commute Time Spanning Trees. ICPR (3) 2006: 1224-1227
[c309]
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Fan Zhang, Edwin R. Hancock:
Riemannian Graph Diffusion for DT-MRI Regularization. MICCAI (2) 2006: 234-242
[c308]
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Fan Zhang, Edwin R. Hancock:
Smoothing Tensor-Valued Images Using Anisotropic Geodesic Diffusion. SSPR/SPR 2006: 83-91
[c307]
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Roberto Fraile, Edwin R. Hancock:
Diffusion of Geometric Affinity for Surface Integration. SSPR/SPR 2006: 92-99
[c306]
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Xiao Bai, Edwin R. Hancock:
A Spectral Generative Model for Graph Structure. SSPR/SPR 2006: 173-181
[c305]
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Xiao Bai, Edwin R. Hancock:
Trace Formula Analysis of Graphs. SSPR/SPR 2006: 306-313
[c304]
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Huaijun Qiu, Edwin R. Hancock:
Graph Embedding Using Commute Time. SSPR/SPR 2006: 441-449
[c303]
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  - conf/sspr/Robles-KellyH06
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Antonio Robles-Kelly, Edwin R. Hancock:
Point Pattern Matching Via Spectral Geometry. SSPR/SPR 2006: 459-467
[c302]
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William A. P. Smith, Edwin R. Hancock:
Facial Shadow Removal. SSPR/SPR 2006: 569-577
[c301]
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Mario Castelán, William A. P. Smith, Edwin R. Hancock:
A Coupled Statistical Model for Face Shape Recovery. SSPR/SPR 2006: 898-906
2005
[j76]
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Antonio Robles-Kelly, Edwin R. Hancock:
Estimating the surface radiance function from single images. Graph. Model. 67(6): 518-548 (2005)
[j75]
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Antonio Robles-Kelly, Edwin R. Hancock:
Graph Edit Distance from Spectral Seriation. IEEE Trans. Pattern Anal. Mach. Intell. 27(3): 365-378 (2005)
[j74]
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Richard C. Wilson, Edwin R. Hancock, Bin Luo:
Pattern Vectors from Algebraic Graph Theory. IEEE Trans. Pattern Anal. Mach. Intell. 27(7): 1112-1124 (2005)
[j73]
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Antonio Robles-Kelly, Edwin R. Hancock:
A graph-spectral method for surface height recovery. Pattern Recognit. 38(8): 1167-1186 (2005)
[j72]
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Fabio Sartori, Edwin R. Hancock:
Vector transport for shape-from-shading. Pattern Recognit. 38(8): 1239-1260 (2005)
[j71]
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Hossein Ragheb, Edwin R. Hancock:
Surface radiance correction for shape from shading. Pattern Recognit. 38(10): 1574-1595 (2005)
[c300]
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Huaijun Qiu, Edwin R. Hancock:
Image Segmentation using Commute Times. BMVC 2005
[c299]
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Hossein Ragheb, Edwin R. Hancock:
Comparing Variants of the Beckmann Model. BMVC 2005
[c298]
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Xianfang Sun, Edwin R. Hancock:
Fast Isometric Parametrization of 3D Triangular Mesh. BMVC 2005
[c297]
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Xiao Bai, Richard C. Wilson, Edwin R. Hancock:
Characterising Graphs using the Heat Kernel. BMVC 2005
[c296]
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William A. P. Smith, Edwin R. Hancock:
Single Image Estimation of Facial Albedo Maps. BVAI 2005: 517-526
[c295]
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Xianfang Sun, Edwin R. Hancock:
3D Triangular Mesh Parametrization Using Locally Linear Embedding. CAIP 2005: 96-103
[c294]
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Huaijun Qiu, Edwin R. Hancock:
Commute Times for Graph Spectral Clustering. CAIP 2005: 128-136
[c293]
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William A. P. Smith, Edwin R. Hancock:
Coupled Statistical Face Reconstruction. CAIP 2005: 153-161
[c292]
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Gary A. Atkinson, Edwin R. Hancock:
Recovery of Surface Height Using Polarization from Two Views. CAIP 2005: 162-170
[c291]
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Hang Yu, Edwin R. Hancock:
Eigenspaces from Seriated Graphs. CAIP 2005: 179-187
[c290]
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Fan Zhang, Huaijun Qiu, Edwin R. Hancock:
Evolving Spanning Trees Using the Heat Equation. CAIP 2005: 272-279
[c289]
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Gary A. Atkinson, Edwin R. Hancock:
Analysis of Directional Reflectance and Surface Orientation Using Fresnel Theory. CIARP 2005: 103-111
[c288]
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Fan Zhang, Edwin R. Hancock:
Image Scale-Space from the Heat Kernel. CIARP 2005: 181-192
[c287]
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Mario Castelán, Edwin R. Hancock:
Estimation of Facial Angular Information Using a Complex-Number-Based Statistical Model. CIARP 2005: 327-338
[c286]
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  - conf/emmcvpr/EmmsSWH05
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David Emms, Simone Severini, Richard C. Wilson, Edwin R. Hancock:
Coined Quantum Walks Lift the Cospectrality of Graphs and Trees. EMMCVPR 2005: 332-345
[c285]
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  - conf/emmcvpr/SunH05
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Xianfang Sun, Edwin R. Hancock:
Locally Linear Isometric Parameterization. EMMCVPR 2005: 552-567
[c284]
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  - conf/gbrpr/LuoWH05
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Bin Luo, Richard C. Wilson, Edwin R. Hancock:
A Linear Generative Model for Graph Structure. GbRPR 2005: 54-62
[c283]
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  - conf/gbrpr/YuH05
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Hang Yu, Edwin R. Hancock:
Graph Seriation Using Semi-definite Programming. GbRPR 2005: 63-71
[c282]
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David Emms, Simone Severini, Richard C. Wilson, Edwin R. Hancock:
Towards Unitary Representations for Graph Matching. GbRPR 2005: 153-161
[c281]
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Huaijun Qiu, Edwin R. Hancock:
A Robust Graph Partition Method from the Path-Weighted Adjacency Matrix. GbRPR 2005: 362-372
[c280]
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Xiao Bai, Edwin R. Hancock:
Recent Results on Heat Kernel Embedding of Graphs. GbRPR 2005: 373-382
[c279]
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Xiao Bai, Edwin R. Hancock:
Graph Clustering Using Heat Content Invariants. IbPRIA (2) 2005: 123-130
[c278]
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Hang Yu, Edwin R. Hancock:
Machine Learning with Seriated Graphs. IbPRIA (2) 2005: 155-162
[c277]
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  - conf/ibpria/WangH05
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Hongfang Wang, Edwin R. Hancock:
Improving Correspondence Matching Using Label Consistency Constraints. IbPRIA (1) 2005: 235-242
[c276]
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Hossein Ragheb, Edwin R. Hancock:
Adding Subsurface Attenuation to the Beckmann-Kirchhoff Theory. IbPRIA (2) 2005: 247-254
[c275]
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William A. P. Smith, Edwin R. Hancock:
A Model-Based Method for Face Shape Recovery. IbPRIA (1) 2005: 268-276
[c274]
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  - conf/iccv/AtkinsonH05
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Gary A. Atkinson, Edwin R. Hancock:
Multi-View Surface Reconstruction Using Polarization. ICCV 2005: 309-316
[c273]
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William A. P. Smith, Edwin R. Hancock:
Recovering Facial Shape and Albedo Using a Statistical Model of Surface Normal Direction. ICCV 2005: 588-595
[c272]
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William A. P. Smith, Edwin R. Hancock:
Face Recognition Using a Surface Normal Model. ICIAP 2005: 423-430
[c271]
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Huaijun Qiu, Edwin R. Hancock:
Commute Times, Discrete Green's Functions and Graph Matching. ICIAP 2005: 454-462
[c270]
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Xiao Bai, Edwin R. Hancock:
Geometric Characterisation of Graphs. ICIAP 2005: 471-478
[c269]
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Mario Castelán, Edwin R. Hancock:
Improved Face Shape Recovery and Re-illumination Using Convexity Constraints. ICIAP 2005: 487-494
[c268]
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Hongfang Wang, Edwin R. Hancock:
Kernel Spectral Correspondence Matching Using Label Consistency Constraints. ICIAP 2005: 503-510
[c267]
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Mario Castelán, Edwin R. Hancock:
Fitting 3D Cartesian Models to Faces Using Irradiance and Integrability Constraints. ICIAP 2005: 876-883
[c266]
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William A. P. Smith, Edwin R. Hancock:
Recovering facial shape using a statistical surface normal model. ICIP (2) 2005: 113-116
[c265]
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Hossein Ragheb, Edwin R. Hancock:
Incorporating subsurface attenuation into the Beckmann model. ICIP (2) 2005: 450-453
[c264]
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William A. P. Smith, Edwin R. Hancock:
Estimating the albedo map of a face from a single image. ICIP (3) 2005: 780-783
[c263]
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Mario Castelán, Edwin R. Hancock:
A comparison of Cartesian coordinate-based representations for building three-dimensional models of faces. ICIP (2) 2005: 1154-1157
[c262]
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  - conf/icip/XiaoH05
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Xiao Bai, Edwin R. Hancock:
Clustering shapes using heat content invariants. ICIP (1) 2005: 1169-1172
[c261]
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  - conf/ima-ms/BaiWH05
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Xiao Bai, Richard C. Wilson, Edwin R. Hancock:
Manifold Embedding of Graphs Using the Heat Kernel. IMA Conference on the Mathematics of Surfaces 2005: 34-49
[c260]
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William A. P. Smith, Edwin R. Hancock:
Modelling Surface Normal Distribution Using the Azimuthal Equidistant Projection. IMA Conference on the Mathematics of Surfaces 2005: 381-394
2004
[j70]
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Andrea Torsello, Edwin R. Hancock:
A skeletal measure of 2D shape similarity. Comput. Vis. Image Underst. 95(1): 1-29 (2004)
[j69]
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  - journals/ijprai/Robles-KellyH04
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Antonio Robles-Kelly, Edwin R. Hancock:
String Edit Distance, Random Walks And Graph Matching. Int. J. Pattern Recognit. Artif. Intell. 18(3): 315-327 (2004)
[j68]
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Mário A. T. Figueiredo, Edwin R. Hancock, Marcello Pelillo, Josiane Zerubia:
Guest Editors' Introduction to the Special Section on Energy Minimization Methods in Computer Vision and Pattern Recognition. IEEE Trans. Pattern Anal. Mach. Intell. 26(2): 145-146 (2004)
[j67]
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Antonio Robles-Kelly, Edwin R. Hancock:
A probabilistic spectral framework for grouping and segmentation. Pattern Recognit. 37(7): 1387-1405 (2004)
[j66]
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Antonio Robles-Kelly, Edwin R. Hancock:
A graph-spectral approach to shape-from-shading. IEEE Trans. Image Process. 13(7): 912-926 (2004)
[c259]
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Hossein Ragheb, Edwin R. Hancock:
Surface Normals and Height from Non-Lambertian Image Data. 3DPVT 2004: 18-25
[c258]
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Mario Castelán, Edwin R. Hancock:
Acquiring Height Maps of Faces from a Single Image. 3DPVT 2004: 183-190
[c257]
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Antonio Robles-Kelly, Edwin R. Hancock:
Estimating the Surface Radiance Function from Single Images. 3DPVT 2004: 494-501
[c256]
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William A. P. Smith, Antonio Robles-Kelly, Edwin R. Hancock:
Facial View Synthesis from a Single Image using Shape from Shading. 3DPVT 2004: 510-517
[c255]
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Antonio Robles-Kelly, Edwin R. Hancock:
Surface Height Recovery Using Heat Flow and Manifold Embedding. 3DPVT 2004: 860-867
[c254]
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Hossein Ragheb, Antonio Robles-Kelly, Edwin R. Hancock:
Testing Reflectance Models Against Radiance Data. 3DPVT 2004: 880-887
[c253]
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  - conf/amdo/Al-ShaherH04
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Abdullah A. Al-Shaher, Edwin R. Hancock:
A Probabilistic Framework for Articulated Shape Recognition. AMDO 2004: 62-75
[c252]
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Abdullah A. Al-Shaher, Edwin R. Hancock:
Articulated Shape Mixtures for Object Recognition. BMVC 2004: 1-10
[c251]
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Gary A. Atkinson, Edwin R. Hancock:
Shape from Diffuse Polarisation. BMVC 2004: 1-10
[c250]
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Xiao Bai, Hang Yu, Edwin R. Hancock:
Graph Matching using Spectral Embedding and Semidefinite Programming. BMVC 2004: 1-10
[c249]
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Hossein Ragheb, Edwin R. Hancock:
Fresnel Correction of the Beckmann Model. BMVC 2004: 1-10
[c248]
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Antonio Robles-Kelly, Edwin R. Hancock:
Underexposed Image Correction Via Approximation of the Scene Radiance Function. BMVC 2004: 1-10
[c247]
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William A. P. Smith, Antonio Robles-Kelly, Edwin R. Hancock:
Single image facial view synthesis using SFS. BMVC 2004: 1-10
[c246]
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Antonio Robles-Kelly, Edwin R. Hancock:
Radiance Function Estimation for Object Classification. CIARP 2004: 67-75
[c245]
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Mario Castelán, Edwin R. Hancock:
A Method for Re-illuminating Faces from a Single Image. CIARP 2004: 267-274
[c244]
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Antonio Robles-Kelly, Edwin R. Hancock:
Spanning Tree Recovery via Random Walks in a Riemannian Manifold. CIARP 2004: 303-311
[c243]
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  - conf/eccv/TorselloH04
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Andrea Torsello, Edwin R. Hancock:
Learning Mixtures of Weighted Tree-Unions by Minimizing Description Length. ECCV (3) 2004: 13-25
[c242]
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Huaijun Qiu, Edwin R. Hancock:
Spectral Simplification of Graphs. ECCV (4) 2004: 114-126
[c241]
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  - conf/iciar/LuoWH04
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Bin Luo, Richard C. Wilson, Edwin R. Hancock:
Graph Pattern Spaces from Laplacian Spectral Polynomials. ICIAR (1) 2004: 327-334
[c240]
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  - conf/iciar/Al-ShaherH04
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Abdullah A. Al-Shaher, Edwin R. Hancock:
A Hierarchical Framework for Shape Recognition Using Articulated Shape Mixtures. ICIAR (1) 2004: 335-343
[c239]
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  - conf/iciar/XiaoYH04
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Xiao Bai, Hang Yu, Edwin R. Hancock:
Graph Matching Using Manifold Embedding. ICIAR (1) 2004: 352-359
[c238]
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  - conf/iciar/CastelanH04
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Mario Castelán, Edwin R. Hancock:
Improving Height Recovery from a Single Image of a Face Using Local Shape Indicators. ICIAR (1) 2004: 613-620
[c237]
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  - conf/iciar/AtkinsonH04
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Gary A. Atkinson, Edwin R. Hancock:
Recovery of Surface Height from Diffuse Polarisation. ICIAR (1) 2004: 621-628
[c236]
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  - conf/iciar/LiH04
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Yang Li, Edwin R. Hancock:
Face Recognition with Generalized Entropy Measurements. ICIAR (2) 2004: 733-740
[c235]
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William A. P. Smith, Antonio Robles-Kelly, Edwin R. Hancock:
Reflectance correction for perspiring faces. ICIP 2004: 1389-1392
[c234]
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Antonio Robles-Kelly, Edwin R. Hancock:
Correction of underexposed images using scene radiance estimation. ICIP 2004: 1827-1830
[c233]
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Antonio Robles-Kelly, Edwin R. Hancock:
Surface height recovery from surface normals using manifold embedding. ICIP 2004: 2107-2110
[c232]
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Hossein Ragheb, Edwin R. Hancock:
Surface radiance empirical data against model predictions. ICIP 2004: 2689-2692
[c231]
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  - conf/icpr/UlusoyHH04
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Ilkay Ulusoy, Ugur Halici, Edwin R. Hancock:
Probabilistic Phase Based Sparse Stereo. ICPR (4) 2004: 84-87
[c230]
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Antonio Robles-Kelly, Edwin R. Hancock:
Vector Field Smoothing Via Heat Flow. ICPR (2) 2004: 94-97
[c229]
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  - conf/icpr/CastelanH04
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Mario Castelán, Edwin R. Hancock:
Combining Data-Closeness and Fourier Domain Integrability Constraints in Shape-from-Shading. ICPR (3) 2004: 115-118
[c228]
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William A. P. Smith, Antonio Robles-Kelly, Edwin R. Hancock:
Skin Reflectance Modelling for Face Recognition. ICPR (3) 2004: 210-213
[c227]
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Xiao Bai, Hang Yu, Edwin R. Hancock:
Graph Matching using Spectral Embedding and Alignment. ICPR (3) 2004: 398-401
[c226]
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Bin Luo, Richard C. Wilson, Edwin R. Hancock:
Graph Manifolds from Spectral Polynomials. ICPR (3) 2004: 402-405
[c225]
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Richard C. Wilson, Edwin R. Hancock:
Levenshtein Distance for Graph Spectral Features. ICPR (2) 2004: 489-492
[c224]
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Yang Li, Edwin R. Hancock:
Face Recognition using Shading-Based Curvature Attributes. ICPR (3) 2004: 538-541
[c223]
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Huaijun Qiu, Edwin R. Hancock:
Grey Scale Image Skeletonisation from Noise-Damped Vector Potential. ICPR (2) 2004: 839-842
[c222]
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Richard C. Wilson, Edwin R. Hancock:
Spectral Analysis of Complex Laplacian Matrices. SSPR/SPR 2004: 57-65
[c221]
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Antonio Robles-Kelly, Edwin R. Hancock:
Steady State Random Walks for Path Estimation. SSPR/SPR 2004: 143-152
[c220]
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Xiao Bai, Edwin R. Hancock:
Heat Kernels, Manifolds and Graph Embedding. SSPR/SPR 2004: 198-206
[c219]
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  - conf/sspr/Al-ShaherH04
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Abdullah A. Al-Shaher, Edwin R. Hancock:
Modelling Human Shape with Articulated Shape Mixtures. SSPR/SPR 2004: 304-314
[c218]
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  - conf/sspr/WangH04
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Hongfang Wang, Edwin R. Hancock:
A Kernel View of Spectral Point Pattern Matching. SSPR/SPR 2004: 361-369
[c217]
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Huaijun Qiu, Edwin R. Hancock:
Grey Scale Skeletonisation with Curvature Sensitive Noise Damping. SSPR/SPR 2004: 461-469
2003
[j65]
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Bin Luo, Edwin R. Hancock:
A unified framework for alignment and correspondence. Comput. Vis. Image Underst. 92(1): 26-55 (2003)
[j64]
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Adrian G. Bors, Edwin R. Hancock, Richard C. Wilson:
Terrain Analysis Using Radar Shape-from-Shading. IEEE Trans. Pattern Anal. Mach. Intell. 25(8): 974-992 (2003)
[j63]
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Mário A. T. Figueiredo, Edwin R. Hancock, Marcello Pelillo, Josiane Zerubia:
Guest Editors' Introduction to the Special Section on Energy Minimization Methods in Computer Vision and Pattern Recognition. IEEE Trans. Pattern Anal. Mach. Intell. 25(11): 1361-1363 (2003)
[j62]
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Marco Carcassoni, Edwin R. Hancock:
Correspondence Matching with Modal Clusters. IEEE Trans. Pattern Anal. Mach. Intell. 25(12): 1609-1615 (2003)
[j61]
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Marco Carcassoni, Edwin R. Hancock:
Spectral correspondence for point pattern matching. Pattern Recognit. 36(1): 193-204 (2003)
[j60]
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Hossein Ragheb, Edwin R. Hancock:
A probabilistic framework for specular shape-from-shading. Pattern Recognit. 36(2): 407-427 (2003)
[j59]
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  - journals/pr/WorthingtonH03
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Philip L. Worthington, Edwin R. Hancock:
Coarse view synthesis using shape-from-shading. Pattern Recognit. 36(2): 439-449 (2003)
[j58]
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Bin Luo, Richard C. Wilson, Edwin R. Hancock:
Spectral embedding of graphs. Pattern Recognit. 36(10): 2213-2230 (2003)
[j57]
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Abdullah A. Al-Shaher, Edwin R. Hancock:
Learning mixtures of point distribution models with the EM algorithm. Pattern Recognit. 36(12): 2805-2818 (2003)
[j56]
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Hossein Ragheb, Edwin R. Hancock:
Darboux smoothing for shape-from-shading. Pattern Recognit. Lett. 24(1-3): 579-595 (2003)
[j55]
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Andrea Torsello, Edwin R. Hancock:
Computing approximate tree edit distance using relaxation labeling. Pattern Recognit. Lett. 24(8): 1089-1097 (2003)
[j54]
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  - journals/tnn/WilsonH03
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Richard C. Wilson, Edwin R. Hancock:
A study of pattern recovery in recurrent correlation associative memories. IEEE Trans. Neural Networks 14(3): 506-519 (2003)
[c216]
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Edwin R. Hancock, Richard C. Wilson, Xiao Bai:
Graph Clustering using Symmetric Polynomials and Local Linear Embedding. BMVC 2003: 1-10
[c215]
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Hossein Ragheb, Edwin R. Hancock:
Rough Surface Analysis using Kirchhoff Theory. BMVC 2003: 1-10
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Hossein Ragheb, Edwin R. Hancock:
Rough Surface Correction and Re-illumination Using the Modified Beckmann Model. CAIP 2003: 98-106
[c213]
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Andrea Torsello, Edwin R. Hancock:
Graph Clustering with Tree-Unions. CAIP 2003: 451-459
[c212]
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Abdullah A. Al-Shaher, Edwin R. Hancock:
Arabic Character Recognition Using Structural Shape Decomposition. CAIP 2003: 478-486
[c211]
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Bin Luo, Richard C. Wilson, Edwin R. Hancock:
Spectral Clustering of Graphs. CAIP 2003: 540-548
[c210]
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Mario Castelán, Edwin R. Hancock:
Imposing Integrability in Geometric Shape-from-Shading. CIARP 2003: 196-203
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Hossein Ragheb, Edwin R. Hancock:
Estimating Surface Characteristics using Physical Reflectance Models. CVPR (2) 2003: 177-184
[c208]
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Andrea Torsello, Edwin R. Hancock:
Curvature Correction of the Hamilton-Jacobi Skeleton. CVPR (1) 2003: 828-834
[c207]
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Andrea Torsello, Edwin R. Hancock:
Learning Mixtures of Tree-Unions by Minimizing Description Length. EMMCVPR 2003: 130-146
[c206]
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Antonio Robles-Kelly, Edwin R. Hancock:
Graph Matching Using Spectral Seriation. EMMCVPR 2003: 517-532
[c205]
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Andrea Torsello, Edwin R. Hancock:
Tree Edit Distance from Information Theory. GbRPR 2003: 71-82
[c204]
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Antonio Robles-Kelly, Edwin R. Hancock:
Graph Matching Using Spectral Seriation and String Edit Distance. GbRPR 2003: 154-165
[c203]
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Huaijun Qiu, Edwin R. Hancock:
Graph Partition for Matching. GbRPR 2003: 178-189
[c202]
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Bin Luo, Richard C. Wilson, Edwin R. Hancock:
Spectral Clustering of Graphs. GbRPR 2003: 190-201
[c201]
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Bin Luo, Richard C. Wilson, Edwin R. Hancock:
Spectral method for learning structural variations in graphs. ICASSP (3) 2003: 13-16
[c200]
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Antonio Robles-Kelly, Edwin R. Hancock:
Edit Distance From Graph Spectra. ICCV 2003: 234-241
[c199]
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Hossein Ragheb, Edwin R. Hancock:
Improving shape recovery by estimating properties of slightly-rough surfaces. ICIAP 2003: 32-37
[c198]
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Antonio Robles-Kelly, Edwin R. Hancock:
An eigenvector method for shape-from-shading. ICIAP 2003: 474-479
[c197]