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Faxian Cao
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2020 – today
- 2023
- [c4]Yingxiu Chang, Yongqiang Cheng, John Murray, Umar Manzoor, Muhammad Khalid, Faxian Cao:
Applying and Exploring Supervised Contrastive Regression for Vision-Based Steering Prediction. ICAC 2023: 1-6 - [i8]Faxian Cao, Yongqiang Cheng, Adil Mehmood Khan, Zhijing Yang:
Justices for Information Bottleneck Theory. CoRR abs/2305.11387 (2023) - [i7]Faxian Cao, Yongqiang Cheng, Adil Mehmood Khan, Zhijing Yang:
Are Microphone Signals Alone Sufficient for Joint Microphones and Sources Localization? CoRR abs/2305.11397 (2023) - [i6]Faxian Cao, Yongqiang Cheng, Adil Mehmood Khan, Zhijing Yang, S. M. Ahsan Kazmi, Yingxiu Chang:
Low Rank Properties for Estimating Microphones Start Time and Sources Emission Time. CoRR abs/2307.07096 (2023) - 2021
- [j9]Faxian Cao, Zhijing Yang, Xiaobin Hong, Yongqiang Cheng, Yuezhen Huang, Jujian Lv:
Supervised Dimensionality Reduction of Hyperspectral Imagery Via Local and Global Sparse Representation. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 14: 3860-3874 (2021) - 2020
- [j8]Xixian Zhang, Zhijing Yang, Faxian Cao, Jiang-Zhong Cao, Meilin Wang, Nian Cai:
Conditioning optimization of extreme learning machine by multitask beetle antennae swarm algorithm. Memetic Comput. 12(2): 151-164 (2020) - [j7]Zhijing Yang, Faxian Cao, Yongqiang Cheng, Wing-Kuen Ling, Ruo Hu:
Locality Regularized Robust-PCRC: A Novel Simultaneous Feature Extraction and Classification Framework for Hyperspectral Images. IEEE Trans. Geosci. Remote. Sens. 58(12): 8567-8582 (2020)
2010 – 2019
- 2019
- [j6]Weizhao Chen, Zhijing Yang, Faxian Cao, Yijun Yan, Meilin Wang, Chunmei Qing, Yongqiang Cheng:
Dimensionality reduction based on determinantal point process and singular spectrum analysis for hyperspectral images. IET Image Process. 13(2): 299-306 (2019) - [j5]Faxian Cao, Zhijing Yang, Jinchang Ren, Weizhao Chen, Guojun Han, Yuzhen Shen:
Local Block Multilayer Sparse Extreme Learning Machine for Effective Feature Extraction and Classification of Hyperspectral Images. IEEE Trans. Geosci. Remote. Sens. 57(8): 5580-5594 (2019) - 2018
- [j4]Mengying Jiang, Faxian Cao, Yunmeng Lu:
Extreme Learning Machine With Enhanced Composite Feature for Spectral-Spatial Hyperspectral Image Classification. IEEE Access 6: 22645-22654 (2018) - [j3]Faxian Cao, Zhijing Yang, Jinchang Ren, Wing-Kuen Ling, Huimin Zhao, Meijun Sun, Jón Atli Benediktsson:
Sparse Representation-Based Augmented Multinomial Logistic Extreme Learning Machine With Weighted Composite Features for Spectral-Spatial Classification of Hyperspectral Images. IEEE Trans. Geosci. Remote. Sens. 56(11): 6263-6279 (2018) - [c3]Zhijing Yang, Weizhao Chen, Yijun Yan, Faxian Cao, Nian Cai:
Unsupervised Hyperspectral Band Selection Based on Maximum Information Entropy and Determinantal Point Process. BICS 2018: 352-361 - [c2]Zhijing Yang, Faxian Cao, Jaime Zabalza, Weizhao Chen, Jiang-Zhong Cao:
Spectral and Spatial Kernel Extreme Learning Machine for Hyperspectral Image Classification. BICS 2018: 394-401 - [i5]Xixian Zhang, Zhijing Yang, Faxian Cao, Jiang-Zhong Cao, Meilin Wang, Nian Cai:
Conditioning Optimization of Extreme Learning Machine by Multitask Beetle Antennae Swarm Algorithm. CoRR abs/1811.09100 (2018) - 2017
- [j2]Faxian Cao, Zhijing Yang, Jinchang Ren, Wing-Kuen Ling, Huimin Zhao, Stephen Marshall:
Extreme Sparse Multinomial Logistic Regression: A Fast and Robust Framework for Hyperspectral Image Classification. Remote. Sens. 9(12): 1255 (2017) - [j1]Faxian Cao, Zhijing Yang, Jinchang Ren, Mengying Jiang, Wing-Kuen Ling:
Linear vs. Nonlinear Extreme Learning Machine for Spectral-Spatial Classification of Hyperspectral Images. Sensors 17(11): 2603 (2017) - [c1]Faxian Cao, Zhijing Yang, Mengying Jiang, Weizhao Chen, Qiuliang Ye, Wing-Kuen Ling:
Spectral-Spatial Classification of Hyperspectral Image Using Extreme Learning Machine and Loopy Belief Propagation. iThings/GreenCom/CPSCom/SmartData 2017: 1061-1064 - [i4]Faxian Cao, Zhijing Yang, Jinchang Ren, Mengying Jiang, Wing-Kuen Ling:
Linear vs Nonlinear Extreme Learning Machine for Spectral-Spatial Classification of Hyperspectral Image. CoRR abs/1709.02253 (2017) - [i3]Faxian Cao, Zhijing Yang, Jinchang Ren, Wing-Kuen Ling:
Extreme Sparse Multinomial Logistic Regression: A Fast and Robust Framework for Hyperspectral Image Classification. CoRR abs/1709.02517 (2017) - [i2]Faxian Cao, Zhijing Yang, Jinchang Ren, Wing-Kuen Ling:
Sparse Representation Based Augmented Multinomial Logistic Extreme Learning Machine with Weighted Composite Features for Spectral Spatial Hyperspectral Image Classification. CoRR abs/1709.03792 (2017) - [i1]Faxian Cao, Zhijing Yang, Jinchang Ren, Mengying Jiang, Wing-Kuen Ling:
Does Normalization Methods Play a Role for Hyperspectral Image Classification? CoRR abs/1710.02939 (2017)
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