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2020 – today
- 2022
[j99]Patrick P. K. Chan, Xiaotian Wang
, Zhe Lin, Daniel S. Yeung:
Progressive editing with stacked Generative Adversarial Network for multiple facial attribute editing. Comput. Vis. Image Underst. 217: 103347 (2022)- 2021
- [j98]Patrick P. K. Chan, Juan Zheng, Han Liu, Eric C. C. Tsang, Daniel S. Yeung:
Robustness analysis of classical and fuzzy decision trees under adversarial evasion attack. Appl. Soft Comput. 107: 107311 (2021) - [j97]Patrick P. K. Chan, Fengzhi Luo, Zitong Chen, Ying Shu, Daniel S. Yeung:
Transfer learning based countermeasure against label flipping poisoning attack. Inf. Sci. 548: 450-460 (2021) - [j96]Patrick P. K. Chan, Zhi-Min He, Xian Hu, Eric C. C. Tsang, Daniel S. Yeung, Wing W. Y. Ng:
Causative label flip attack detection with data complexity measures. Int. J. Mach. Learn. Cybern. 12(1): 103-116 (2021) - [c123]Patrick P. K. Chan, Yaxuan Wang, Natasha Kees, Daniel S. Yeung:
Multiple-Model Based Defense for Deep Reinforcement Learning Against Adversarial Attack. ICANN (1) 2021: 42-53 - [c122]Patrick P. K. Chan, Keke Chen, Linyi Xu, Xiaoman Hu, Daniel S. Yeung:
Weakly Supervised Semantic Segmentation with Patch-Based Metric Learning Enhancement. ICANN (3) 2021: 471-482 - [c121]Patrick P. K. Chan, Yuanchao Liang, Fei Zhang, Daniel S. Yeung:
Distribution-based Adversarial Filter Feature Selection against Evasion Attack. IJCNN 2021: 1-8 - [c120]Keke Chen, Patrick P. K. Chan, Tianyi Xiang, Natasha Kees, Daniel S. Yeung:
Class-Specific Affinity based Weakly Supervised Semantic Segmentation with Neutral Region Exploration. IJCNN 2021: 1-8 - 2020
- [c119]Patrick P. K. Chan, Yaxuan Wang, Daniel S. Yeung:
Adversarial Attack against Deep Reinforcement Learning with Static Reward Impact Map. AsiaCCS 2020: 334-343 - [i1]Fei Zhang, Patrick P. K. Chan, Battista Biggio, Daniel S. Yeung, Fabio Roli:
Adversarial Feature Selection against Evasion Attacks. CoRR abs/2005.12154 (2020)
2010 – 2019
- 2019
- [j95]Wing W. Y. Ng, Xing Tian, Witold Pedrycz, Xizhao Wang, Daniel S. Yeung:
Incremental Hash-Bit Learning for Semantic Image Retrieval in Nonstationary Environments. IEEE Trans. Cybern. 49(11): 3844-3858 (2019) - 2018
- [j94]Wing W. Y. Ng, Xiancheng Zhou, Xing Tian, Xizhao Wang, Daniel S. Yeung:
Bagging-boosting-based semi-supervised multi-hashing with query-adaptive re-ranking. Neurocomputing 275: 916-923 (2018) - [j93]Patrick P. K. Chan, Weiwen Liu, Danni Chen, Daniel S. Yeung, Fei Zhang, Xizhao Wang, Chien-Chang Hsu:
Face Liveness Detection Using a Flash Against 2D Spoofing Attack. IEEE Trans. Inf. Forensics Secur. 13(2): 521-534 (2018) - [c118]Keke Chen, Patrick P. K. Chan, Daniel S. Yeung:
Unsupervised Shilling Attack Detection Model Based on Rated Item Correlation Analysis. ICMLC 2018: 667-672 - [c117]Patrick P. K. Chan, Xian Hu, Lili Zhao, Daniel S. Yeung, Dapeng Liu, Lei Xiao:
Convolutional Neural Networks based Click-Through Rate Prediction with Multiple Feature Sequences. IJCAI 2018: 2007-2013 - [c116]Keke Chen, Patrick P. K. Chan, Daniel S. Yeung:
Shilling Attack Detection Using Rated Item Correlation for Collaborative Filtering. SMC 2018: 3553-3558 - 2017
- [j92]Patrick P. K. Chan, Zhe Lin, Xian Hu, Eric C. C. Tsang, Daniel S. Yeung:
Sensitivity based robust learning for stacked autoencoder against evasion attack. Neurocomputing 267: 572-580 (2017) - [j91]Wing W. Y. Ng, Yueming Lv, Ziqian Zeng, Daniel S. Yeung, Patrick P. K. Chan:
Sequential conditional entropy maximization semi-supervised hashing for semantic image retrieval. Int. J. Mach. Learn. Cybern. 8(2): 571-586 (2017) - [j90]Wing W. Y. Ng, Xing Tian, Yueming Lv, Daniel S. Yeung, Witold Pedrycz:
Incremental Hashing for Semantic Image Retrieval in Nonstationary Environments. IEEE Trans. Cybern. 47(11): 3814-3826 (2017) - 2016
- [j89]Wing W. Y. Ng, Guangjun Zeng, Jiangjun Zhang, Daniel S. Yeung, Witold Pedrycz:
Dual autoencoders features for imbalance classification problem. Pattern Recognit. 60: 875-889 (2016) - [j88]Fei Zhang, Patrick P. K. Chan, Battista Biggio, Daniel S. Yeung, Fabio Roli:
Adversarial Feature Selection Against Evasion Attacks. IEEE Trans. Cybern. 46(3): 766-777 (2016) - [j87]Daniel S. Yeung, Jin-Cheng Li, Wing W. Y. Ng, Patrick P. K. Chan:
MLPNN Training via a Multiobjective Optimization of Training Error and Stochastic Sensitivity. IEEE Trans. Neural Networks Learn. Syst. 27(5): 978-992 (2016) - [c115]Qiu Xia Li, Patrick P. K. Chan, Dalin Zhou, Yinfeng Fang, Honghai Liu, Daniel S. Yeung:
Improving robustness against electrode shift of sEMG based hand gesture recognition using online semi-supervised learning. ICMLC 2016: 344-349 - 2015
- [j86]Wing W. Y. Ng, Yueming Lv, Daniel S. Yeung, Patrick P. K. Chan:
Two-phase mapping hashing. Neurocomputing 151: 1423-1429 (2015) - [j85]Patrick P. K. Chan, Cheng Yang, Daniel S. Yeung, Wing W. Y. Ng:
Spam filtering for short messages in adversarial environment. Neurocomputing 155: 167-176 (2015) - [j84]Lidia S. Chao, Derek F. Wong, Philip C. L. Chen, Wing W. Y. Ng, Daniel S. Yeung:
Benefiting feature selection by the discovery of false irrelevant attributes. Int. J. Wavelets Multiresolution Inf. Process. 13(4): 1550023:1-1550023:17 (2015) - [j83]Zhi-Min He, Patrick P. K. Chan, Daniel S. Yeung, Witold Pedrycz, Wing W. Y. Ng:
Quantification of side-channel information leaks based on data complexity measures for web browsing. Int. J. Mach. Learn. Cybern. 6(4): 607-619 (2015) - [j82]Wing W. Y. Ng, Jinchen Li, Shaoyong Feng, Daniel S. Yeung, Patrick P. K. Chan:
Sensitivity based image filtering for multi-hashing in large scale image retrieval problems. Int. J. Mach. Learn. Cybern. 6(5): 777-794 (2015) - [j81]Wing W. Y. Ng, Junjie Hu, Daniel S. Yeung, Shaohua Yin, Fabio Roli:
Diversified Sensitivity-Based Undersampling for Imbalance Classification Problems. IEEE Trans. Cybern. 45(11): 2402-2412 (2015) - [j80]Yueming Lv, Wing W. Y. Ng, Ziqian Zeng, Daniel S. Yeung, Patrick P. K. Chan:
Asymmetric Cyclical Hashing for Large Scale Image Retrieval. IEEE Trans. Multim. 17(8): 1225-1235 (2015) - [c114]Battista Biggio, Igino Corona, Zhi-Min He, Patrick P. K. Chan, Giorgio Giacinto, Daniel S. Yeung, Fabio Roli:
One-and-a-Half-Class Multiple Classifier Systems for Secure Learning Against Evasion Attacks at Test Time. MCS 2015: 168-180 - 2014
- [j79]Chunru Dong, Wing W. Y. Ng, Xi-Zhao Wang, Patrick P. K. Chan, Daniel S. Yeung:
An improved differential evolution and its application to determining feature weights in similarity-based clustering. Neurocomputing 146: 95-103 (2014) - [j78]Wing W. Y. Ng, Xue-Ling Liang, Jin-Cheng Li, Daniel S. Yeung, Patrick P. K. Chan:
LG-Trader: Stock trading decision support based on feature selection by weighted localized generalization error model. Neurocomputing 146: 104-112 (2014) - [j77]Wing W. Y. Ng, Zhi-Min He, Daniel S. Yeung, Patrick P. K. Chan:
Steganalysis classifier training via minimizing sensitivity for different imaging sources. Inf. Sci. 281: 211-224 (2014) - [j76]Jin-Cheng Li, Wing W. Y. Ng, Daniel S. Yeung, Patrick P. K. Chan:
Bi-firing deep neural networks. Int. J. Mach. Learn. Cybern. 5(1): 73-83 (2014) - [c113]Yujiao Li, Daniel S. Yeung:
A Causative Attack Against Semi-supervised Learning. ICMLC (CCIS volume) 2014: 196-203 - 2013
- [j75]Binbin Sun, Wing W. Y. Ng, Daniel S. Yeung, Patrick P. K. Chan:
Hyper-parameter Selection for Sparse LS-SVM via Minimization of its Localized Generalization Error. Int. J. Wavelets Multiresolution Inf. Process. 11(3) (2013) - [c112]Chun-Ru Dong, Daniel S. Yeung, Xi-Zhao Wang:
An improved differential evolution and its application to determining feature weights in similarity based clustering. ICMLC 2013: 831-838 - [c111]Xizhao Wang, Daniel S. Yeung:
Greetings from the General Chairs. ICMLC 2013: I-II - 2012
- [j74]Patrick P. K. Chan, Daniel S. Yeung, Wing W. Y. Ng, Chih-Min Lin, James N. K. Liu:
Dynamic fusion method using Localized Generalization Error Model. Inf. Sci. 217: 1-20 (2012) - [c110]Binbin Sun, Daniel S. Yeung:
Sparse LS-SVM two-steps model selection method. ICMLC 2012: 460-465 - [c109]Bing-Zhong Jing, Daniel S. Yeung:
Recovering depth from images using adaptive depth from focus. ICMLC 2012: 1205-1211 - 2011
- [j73]Witold Pedrycz, Daniel S. Yeung, Xizhao Wang:
Recent advances on machine learning and Cybernetics. Soft Comput. 15(6): 1039 (2011) - [c108]Wing W. Y. Ng, Xin Ran, Patrick P. K. Chan, Daniel S. Yeung:
News story clustering using L-GEM based RBFNN. ICMLC 2011: 85-90 - [c107]Wing W. Y. Ng, Li Lin, Patrick P. K. Chan, Daniel S. Yeung:
3D Goods allocation in warehouse with L-GEM based 3-D RFID positioning. ICMLC 2011: 324-329 - [c106]Wing W. Y. Ng, Hai-Lan Ding, Patrick P. K. Chan, Daniel S. Yeung:
Efficiency of applying virtual reference tag to neural network based RFID indoor positioning method. ICMLC 2011: 447-453 - [c105]Wing W. Y. Ng, Yi-Song Qiao, Li Lin, Hai-Lan Ding, Patrick P. K. Chan, Daniel S. Yeung:
Intelligent book positioning for library using RFID and book spine matching. ICMLC 2011: 465-470 - [c104]Wing W. Y. Ng, Xue-Ling Liang, Patrick P. K. Chan, Daniel S. Yeung:
Stock investment decision support for Hong Kong market using RBFNN based candlestick models. ICMLC 2011: 538-543 - [c103]Wing W. Y. Ng, Timothy Tian-Ming Zheng, Patrick P. K. Chan, Daniel S. Yeung:
Social relationship discovery and face annotation in personal photo collection. ICMLC 2011: 631-637 - [c102]Wing W. Y. Ng, Yao-Hong Chan, Patrick P. K. Chan, Daniel S. Yeung:
Empirical study on the architecture selection of RBFNN using L-GEM for multi-class problems. ICMLC 2011: 723-726 - [c101]Wing W. Y. Ng, Qian-Cheng Wang, Rui-Jie Yang, Patrick P. K. Chan, Daniel S. Yeung:
A study on the effect of scaling functions to feature weighting performance. ICMLC 2011: 1077-1081 - [c100]Chunru Dong, Patrick P. K. Chan, Wing W. Y. Ng, Daniel S. Yeung:
A survey of the initialization of centers and widths in radial basis function network for classification. ICMLC 2011: 1082-1087 - [c99]Patrick P. K. Chan, Fei Zhang, Wing W. Y. Ng, Daniel S. Yeung, Jinshan Jiang:
A novel defend against good word attacks. ICMLC 2011: 1088-1092 - [c98]Patrick P. K. Chan, Qin-Qin Zhang, Wing W. Y. Ng, Daniel S. Yeung:
Dynamic base classifier pool for classifier selection in Multiple Classifier Systems. ICMLC 2011: 1093-1096 - [c97]Patrick P. K. Chan, Xi-Rong Wu, Wing W. Y. Ng, Daniel S. Yeung:
Sensitivity based Growing and Pruning method for RBF network in online learning environments. ICMLC 2011: 1107-1112 - [c96]Patrick P. K. Chan, Jing Zhu, Zhi-Wei Qiu, Wing W. Y. Ng, Daniel S. Yeung:
Comparision of different classifiers in fault detection in microgrid. ICMLC 2011: 1210-1213 - [c95]Patrick P. K. Chan, Bo Peng, Wing W. Y. Ng, Daniel S. Yeung:
Disturbance rejection using error estimation in neural network controller design. ICMLC 2011: 1220-1225 - [c94]Patrick P. K. Chan, Wei-Chun Chen, Wing W. Y. Ng, Daniel S. Yeung:
Multiple classifier system for short term load forecast of Microgrid. ICMLC 2011: 1268-1273 - [c93]Patrick P. K. Chan, Hui Yu, Wing W. Y. Ng, Daniel S. Yeung:
A novel method to reduce redundancy in adaptive threshold clustering key frame extraction systems. ICMLC 2011: 1637-1642 - [c92]Wing W. Y. Ng, Zhi-Min He, Patrick P. K. Chan, Daniel S. Yeung:
Blind steganalysis with high generalization capability for different image databases using L-GEM. ICMLC 2011: 1690-1695 - [c91]Patrick P. K. Chan, Bing-Zhong Jing, Wing W. Y. Ng, Daniel S. Yeung:
Depth estimation from a single image using defocus cues. ICMLC 2011: 1732-1738 - [c90]Patrick P. K. Chan, Zhi-Chun Huang, Wing W. Y. Ng, Daniel S. Yeung:
Dynamic hierarchical semantic network based image retrieval using relevance feedback. ICMLC 2011: 1746-1751 - [c89]Wing W. Y. Ng, Xian-Heng Ma, Patrick P. K. Chan, Daniel S. Yeung:
Multi-object tracking in video using Localized Generalization Error model based RBFNN. ICMLC 2011: 1825-1831 - 2010
- [b1]Daniel S. Yeung, Ian Cloete, Daming Shi, Wing W. Y. Ng:
Sensitivity Analysis for Neural Networks. Natural Computing Series, Springer 2010, ISBN 978-3-642-02531-0, pp. 1-82 - [j72]Chih-Min Lin, Li-Yang Chen, Daniel S. Yeung:
Adaptive filter design using recurrent cerebellar model articulation controller. IEEE Trans. Neural Networks 21(7): 1149-1157 (2010) - [c88]Chunru Dong, Patrick P. K. Chan, Wing W. Y. Ng, Daniel S. Yeung:
2-Stage instance selection algorithm for KNN based on Nearest Unlike Neighbors. ICMLC 2010: 134-140 - [c87]Hui Yu, Patrick P. K. Chan, Wing W. Y. Ng, Daniel S. Yeung:
Apply randomization in KNN to make the adversary harder to attack the classifier. ICMLC 2010: 179-183 - [c86]Qian-Cheng Wang, Wing W. Y. Ng, Patrick P. K. Chan, Daniel S. Yeung:
Feature weighting based on L-GEM. ICMLC 2010: 220-224 - [c85]Bo Peng, Patrick P. K. Chan, Wing W. Y. Ng, Daniel S. Yeung:
A novel approach on control simulation using neural network ensemble. ICMLC 2010: 357-362 - [c84]Weiwei Lai, Wing W. Y. Ng, Patrick P. K. Chan, Daniel S. Yeung:
Trademark classification by shape using ensemble of RBFNNs. ICMLC 2010: 391-396 - [c83]Zhi-Min He, Wing W. Y. Ng, Patrick P. K. Chan, Daniel S. Yeung:
Feature selection for blind steganalysis using localized generalization error model. ICMLC 2010: 500-505 - [c82]Li Zhao, Patrick P. K. Chan, Wing W. Y. Ng, Daniel S. Yeung:
A novel gradient synthesis-based illumination formalization method for face recognition under varying lighting conditions. ICMLC 2010: 669-674 - [c81]Dong-Liang Wu, Wing W. Y. Ng, Patrick P. K. Chan, Hai-Lan Ding, Bing-Zhong Jing, Daniel S. Yeung:
Access control by RFID and face recognition based on neural network. ICMLC 2010: 675-680 - [c80]Bing-Zhong Jing, Patrick P. K. Chan, Wing W. Y. Ng, Daniel S. Yeung:
Anti-spoofing system for RFID access control combining with face recogntion. ICMLC 2010: 698-703 - [c79]Zhi-Chun Huang, Patrick P. K. Chan, Wing W. Y. Ng, Daniel S. Yeung:
Content-based image retrieval using color moment and Gabor texture feature. ICMLC 2010: 719-724 - [c78]Wei Xiao, Wing W. Y. Ng, Patrick P. K. Chan, Daniel S. Yeung:
L-GEM based RBFNN for news anchorperson detection with Dominant Color Descriptor. ICMLC 2010: 763-768 - [c77]Timothy Tian-Ming Zheng, Wing W. Y. Ng, Xu-Sheng Huang, Shi-Ting Yang, Patrick P. K. Chan, Weiwei Lai, Daniel S. Yeung:
Shape-based image retrieval of Chinese paper-cutting using RBFNN with invariant moment. ICMLC 2010: 808-814 - [c76]Hai-Lan Ding, Wing W. Y. Ng, Patrick P. K. Chan, Dong-Liang Wu, Xiao-Ling Chen, Daniel S. Yeung:
RFID indoor positioning using RBFNN with L-GEM. ICMLC 2010: 1147-1152 - [c75]Hai-Lan Ding, Wing W. Y. Ng, Patrick P. K. Chan, Daniel S. Yeung, Dong-Liang Wu:
RFID reader deployment using RBFNN with L-GEM. ICMLC 2010: 1153-1158 - [c74]Jin-Cheng Li, Wing W. Y. Ng, Patrick P. K. Chan, Daniel S. Yeung:
A growing architecture selection for Multilayer Perceptron Neural Network by the L-GEM. ICMLC 2010: 1402-1407 - [c73]Daniel S. Yeung, Binbin Sun, Wing W. Y. Ng, Patrick P. K. Chan:
Construction of radial basis function neural networks via a minimization of its localized generalization error. ICMLC 2010: 1437-1442 - [c72]Wei-Chun Chen, Patrick P. K. Chan, Wing W. Y. Ng, Daniel S. Yeung:
Multiple classifier systems combined with localized generalization error for fault diagnosis of power transformers. ICMLC 2010: 1464-1469 - [c71]Yao-Hong Chan, Wing W. Y. Ng, Daniel S. Yeung, Patrick P. K. Chan:
Empirical comparison of forward and backward search strategies in L-GEM based feature selection with RBFNN. ICMLC 2010: 1524-1527 - [c70]Gao-Yang Cai, Wing W. Y. Ng, Patrick P. K. Chan, Michael Firth, Daniel S. Yeung:
Moving average crossovers for short-term equity investment with L-GEM based RBFNN. ICMLC 2010: 1684-1688 - [c69]Te-Yu Chen, Wei-Wei Zhang, Chih-Min Lin, Daniel S. Yeung:
Chaos synchronization of two uncertain chaotic nonlinear gyros using rotary sliding mode control. ICMLC 2010: 2765-2770 - [c68]Chih-Min Lin, Chang-Chih Chung, Yu-Ju Liu, Daniel S. Yeung:
CMAC-based fault accommodation control for tank system. ICMLC 2010: 2771-2776 - [c67]Zhi-Min He, Wing W. Y. Ng, Patrick P. K. Chan, Daniel S. Yeung:
Steganography detection using localized generalization error model. SMC 2010: 1544-1549
2000 – 2009
- 2009
- [j71]Daniel S. Yeung, Patrick P. K. Chan, Wing W. Y. Ng:
Radial Basis Function network learning using localized generalization error bound. Inf. Sci. 179(19): 3199-3217 (2009) - [c66]Daniel S. Yeung:
Sensitivity Based Generalization Error for Supervised Learning Problems with Application in Feature Selection. ADMA 2009: 3 - [c65]Daniel S. Yeung:
Sensitivity based Generalization Error for Supervised Learning Problem with Applications in Model Selection and Feature Selection. ICINCO-ICSO 2009: 5 - [c64]Wing W. Y. Ng, Jun Wang, Daniel S. Yeung:
IPCM Separability Ratio for Supervised Feature Selection. SMC 2009: 211-215 - [c63]Daniel S. Yeung, Patrick P. K. Chan:
A Novel Dynamic Fusion Method Using Localized Generalization Error Model. SMC 2009: 623-628 - 2008
- [j70]Eric C. C. Tsang, Degang Chen, Daniel S. Yeung:
Approximations and reducts with covering generalized rough sets. Comput. Math. Appl. 56(1): 279-289 (2008) - [j69]Xizhao Wang, Chun-Guo Li, Daniel S. Yeung, ShiJi Song, Hui-Min Feng:
A definition of partial derivative of random functions and its application to RBFNN sensitivity analysis. Neurocomputing 71(7-9): 1515-1526 (2008) - [j68]Xizhao Wang, Yuanyan Tang, Daniel S. Yeung:
Editorial. Int. J. Pattern Recognit. Artif. Intell. 22(1): 1-2 (2008) - [j67]Wing W. Y. Ng, Daniel S. Yeung, Eric C. C. Tsang:
The Localized Generalization Error Model for Single Layer Perceptron Neural Network and Sigmoid Support Vector Machine. Int. J. Pattern Recognit. Artif. Intell. 22(1): 121-135 (2008) - [j66]Aki P. F. Chan, Patrick P. K. Chan, Wing W. Y. Ng, Eric C. C. Tsang, Daniel S. Yeung:
A Novel Feature Grouping Method for Ensemble Neural Network Using Localized Generalization Error Model. Int. J. Pattern Recognit. Artif. Intell. 22(1): 137-151 (2008) - [j65]Daniel S. Yeung, Xizhao Wang, Degang Chen:
Preface: Recent advances in granular computing. Inf. Sci. 178(16): 3161-3162 (2008) - [j64]Wing W. Y. Ng, Daniel S. Yeung, Michael Firth, Eric C. C. Tsang, Xizhao Wang:
Feature selection using localized generalization error for supervised classification problems using RBFNN. Pattern Recognit. 41(12): 3706-3719 (2008) - [j63]Eric C. C. Tsang, Degang Chen, Daniel S. Yeung, Xizhao Wang, John W. T. Lee:
Attributes Reduction Using Fuzzy Rough Sets. IEEE Trans. Fuzzy Syst. 16(5): 1130-1141 (2008) - [c62]Huili Li, Wing W. Y. Ng, John Wan Tung Lee, Binbin Sun, Daniel S. Yeung:
Quantitative study on candlestick pattern for Shenzhen Stock Market. SMC 2008: 54-59 - [c61]Binbin Sun, Wing W. Y. Ng, Daniel S. Yeung, Jun Wang:
Localized generalization error based active learning for image annotation. SMC 2008: 60-65 - [c60]Yang Lv, Wing W. Y. Ng, John Wan Tung Lee, Binbin Sun, Daniel S. Yeung:
Information extraction based on information fusion from multiple news sources from the web. SMC 2008: 1471-1476 - [p2]Eric C. C. Tsang, Qingcai Chen, Suyun Zhao, Daniel S. Yeung, Xizhao Wang:
Hybridization of Fuzzy and Rough Sets: Present and Future. Fuzzy Sets and Their Extensions: Representation, Aggregation and Models 2008: 45-64 - 2007
- [j62]Eric C. C. Tsang, S. S. Qiu, Daniel S. Yeung:
Stability analysis of a discrete Hopfield neural network with delay. Neurocomputing 70(13-15): 2598-2602 (2007) - [j61]Eric C. C. Tsang, S. S. Qiu, Daniel S. Yeung:
Convergence Analysis of a Discrete Hopfield Neural Network with Delay and its Application to Knowledge Refinement. Int. J. Pattern Recognit. Artif. Intell. 21(3): 515-541 (2007) - [j60]Shuyuan Jin, Daniel S. Yeung, Xizhao Wang:
Internet Anomaly Detection Based on Statistical Covariance Matrix. Int. J. Pattern Recognit. Artif. Intell. 21(3): 591-606 (2007) - [j59]Xizhao Wang, Eric C. C. Tsang, Suyun Zhao, Degang Chen, Daniel S. Yeung:
Learning fuzzy rules from fuzzy samples based on rough set technique. Inf. Sci. 177(20): 4493-4514 (2007) - [j58]Daniel S. Yeung, Defeng Wang, Wing W. Y. Ng, Eric C. C. Tsang, Xizhao Wang:
Structured large margin machines: sensitive to data distributions. Mach. Learn. 68(2): 171-200 (2007) - [j57]Wing W. Y. Ng, Andrés Dorado, Daniel S. Yeung, Witold Pedrycz, Ebroul Izquierdo:
Image classification with the use of radial basis function neural networks and the minimization of the localized generalization error. Pattern Recognit. 40(1): 19-32 (2007) - [j56]Shuyuan Jin, Daniel S. Yeung, Xizhao Wang:
Network intrusion detection in covariance feature space. Pattern Recognit. 40(8): 2185-2197 (2007) - [j55]Defeng Wang, Lin Shi, Daniel S. Yeung, Eric C. C. Tsang, Pheng-Ann Heng:
Ellipsoidal support vector clustering for functional MRI analysis. Pattern Recognit. 40(10): 2685-2695 (2007) - [j54]Zhi-Qiang Liu, Xizhao Wang, Daniel S. Yeung:
Machine Learning Techniques: Problems and Applications. By Guest Editors: Zhi-Qiang Liu, Daniel So Yeung, Xi-Zhao Wang, and Eric Tsang. Soft Comput. 11(4): 309 (2007) - [j53]Wing W. Y. Ng, Daniel S. Yeung, Defeng Wang, Eric C. C. Tsang, Xizhao Wang:
Localized Generalization Error of Gaussian-based Classifiers and Visualization of Decision Boundaries. Soft Comput. 11(4): 375-381 (2007) - [j52]Daniel S. Yeung, Wing W. Y. Ng, Defeng Wang, Eric C. C. Tsang, Xizhao Wang:
Localized Generalization Error Model and Its Application to Architecture Selection for Radial Basis Function Neural Network. IEEE Trans. Neural Networks 18(5): 1294-1305 (2007) - [j51]Defeng Wang, Daniel S. Yeung, Eric C. C. Tsang:
Weighted Mahalanobis Distance Kernels for Support Vector Machines. IEEE Trans. Neural Networks 18(5): 1453-1462 (2007) - [j50]Daniel S. Yeung, Shuyuan Jin, Xizhao Wang:
Covariance-Matrix Modeling and Detecting Various Flooding Attacks. IEEE Trans. Syst. Man Cybern. Part A 37(2): 157-169 (2007) - [c59]Patrick P. K. Chan, Xiaoqin Zeng, Eric C. C. Tsang, Daniel S. Yeung, John W. T. Lee:
Neural network ensemble pruning using sensitivity measure in web applications. SMC 2007: 3051-3056 - [c58]Wing W. Y. Ng, Binbin Sun, Daniel S. Yeung, Xizhao Wang:
Heuristic improvement for active learning using localized generalization error as selection criterion. SMC 2007: 3588-3593 - [c57]Defeng Wang, Daniel S. Yeung, Eric C. C. Tsang:
Sample Reduction for SVMs via Data Structure Analysis. SoSE 2007: 1-6 - 2006
- [j49]Xiaoqin Zeng, Daniel S. Yeung:
Hidden neuron pruning of multilayer perceptrons using a quantified sensitivity measure. Neurocomputing 69(7-9): 825-837 (2006)