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Distribution preserving learning for unsupervised feature selection Journal article
Neurocomputing, 2018,Volume: 289,Page: 231-240
Authors:  Ting Xie;  Pengfei Ren;  Taiping Zhang;  Yuan Yan Tang
Favorite | View/Download:32/0 | TC[WOS]:2 TC[Scopus]:0 | Submit date:2018/10/30
Feature Selection  Density Preserving  Kernel Density Estimation  Dimensionality Reduction  Data Mining  
Robust constrained concept factorization Book
2018
Authors:  Yan W.;  Zhang B.
Favorite | View/Download:7/0 | TC[WOS]:0 TC[Scopus]:0 | Submit date:2019/04/04
Clustering  Concept factorization  Dimensionality reduction  
Learning the distribution of data for embedding Conference paper
Proceedings - 2016 7th International Conference on Cloud Computing and Big Data, CCBD 2016
Authors:  Shen Y.;  Ren P.;  Zhang T.;  Tang Y.Y.
Favorite | View/Download:4/0 | TC[WOS]:0 TC[Scopus]:0 | Submit date:2019/02/11
Dimensionality reduction  Distribution preserving embedding  Kernel density estimation  
Robust Nonnegative Patch Alignment for Dimensionality Reduction Journal article
IEEE Transactions on Neural Networks and Learning Systems, 2015,Volume: 26,Issue: 11,Page: 2760 - 2774
Authors:  Xinge You;  Weihua Ou;  Chun Lung Philip Chen;  Qiang Li;  Ziqi Zhu;  Yuanyan Tang
Favorite | View/Download:10/0 | TC[WOS]:20 TC[Scopus]:0 | Submit date:2018/10/30
Correntropy-induced Metric (Cim)  Dimensionality Reduction  Locality Preserving (Lp)  Robust Nonnegative Patch Alignment (Rnpa)  Sparsity Preserving (Sp)  
Visual saliency estimation using support value transform Conference paper
Proceedings - International Conference on Image Processing, ICIP, Orlando, FL, 30 Sept.-3 Oct. 2012
Authors:  Weibin Yang;  Bin Fang;  Yuan Yan Tang;  Zhaowei Shang;  Hengjun Zhao
Favorite | View/Download:5/0 | TC[WOS]:0 TC[Scopus]:0 | Submit date:2019/02/11
Central Bias  Dimensionality Reduction  Human Fixation  Support Value Transform  Visual Saliency  
Document Clustering in Correlation Similarity Measure Space Journal article
IEEE Transactions on Knowledge and Data Engineering, 2012,Volume: 24,Issue: 6,Page: 1002 - 1013
Authors:  Taiping Zhang;  Yuan Yan Tang;  Bin Fang;  Yong Xiang
Favorite | View/Download:10/0 | TC[WOS]:13 TC[Scopus]:0 | Submit date:2018/10/30
Correlation Latent Semantic Indexing  Correlation Measure  Dimensionality Reduction  Document Clustering  
Nonparametric Feature Extraction via Direct Maximum Margin Alignment Conference paper
Proceedings - 10th International Conference on Machine Learning and Applications, ICMLA 2011, Honolulu, HI, 18-21 Dec. 2011
Authors:  Miao Cheng;  Yuan Yan Tang;  Chi-Man Pun
Favorite | View/Download:7/0 | TC[WOS]:0 TC[Scopus]:0 | Submit date:2019/02/11
Dimensionality Reduction  Direct Maximum Margin Alignment  Kernel-view  Nonparametric Feature Extraction  Subspace Selection  
Kernel-view based discriminant approach for embedded feature extraction in high-dimensional space Journal article
Neurocomputing, 2011,Volume: 74,Issue: 9,Page: 1478-1484
Authors:  Miao Cheng;  Bin Fang;  Chi-Man Pun;  Yuan Yan Tang
Favorite | View/Download:13/0 | TC[WOS]:4 TC[Scopus]:0 | Submit date:2019/02/14
Curse-of-dimensionality  Dimensionality Reduction  Feature Extraction  Kernel Analysis  Local Discriminant Analysis  
A computational and theoretical analysis of local null space discriminant method for pattern classification Journal article
International Journal of Pattern Recognition and Artificial Intelligence, 2011,Volume: 25,Issue: 1,Page: 117-134
Authors:  Cheng M.;  Fang B.;  Tang Y.Y.;  Chen H.
Favorite | View/Download:6/0 | TC[WOS]:1 TC[Scopus]:0 | Submit date:2019/02/11
dimensionality reduction  local discriminant analysis  local null space  manifold learning  Pattern classification  
Marginal discriminant projections: An adaptable margin discriminant approach to feature reduction and extraction Journal article
Pattern Recognition Letters, 2010,Volume: 31,Issue: 13,Page: 1965-1974
Authors:  Cheng M.;  Fang B.;  Wen J.;  Tang Y.Y.
Favorite | View/Download:6/0 | TC[WOS]:5 TC[Scopus]:0 | Submit date:2019/02/11
Curse of dimensionality  Dimensionality reduction  Feature extraction  Hierarchical fuzzy clustering  Maladjusted learning problem