Chenping Hou
Titel
Citeras av
Citeras av
År
Joint embedding learning and sparse regression: A framework for unsupervised feature selection
C Hou, F Nie, X Li, D Yi, Y Wu
IEEE Transactions on Cybernetics 44 (6), 793-804, 2013
3382013
Feature selection via joint embedding learning and sparse regression
C Hou, F Nie, D Yi, Y Wu
Twenty-Second international joint conference on Artificial Intelligence, 2011
1592011
Multiple view semi-supervised dimensionality reduction
C Hou, C Zhang, Y Wu, F Nie
Pattern Recognition 43 (3), 720-730, 2010
1032010
Stable local dimensionality reduction approaches
C Hou, C Zhang, Y Wu, Y Jiao
Pattern Recognition 42 (9), 2054-2066, 2009
822009
Effective discriminative feature selection with nontrivial solution
H Tao, C Hou, F Nie, Y Jiao, D Yi
IEEE transactions on neural networks and learning systems 27 (4), 796-808, 2015
812015
Discriminative embedded clustering: A framework for grouping high-dimensional data
C Hou, F Nie, D Yi, D Tao
IEEE transactions on neural networks and learning systems 26 (6), 1287-1299, 2014
712014
Multiple rank multi-linear SVM for matrix data classification
C Hou, F Nie, C Zhang, D Yi, Y Wu
Pattern Recognition 47 (1), 454-469, 2014
712014
Multi-view unsupervised feature selection with adaptive similarity and view weight
C Hou, F Nie, H Tao, D Yi
IEEE Transactions on Knowledge and Data Engineering 29 (9), 1998-2011, 2017
602017
Semi-supervised classification with universum
D Zhang, J Wang, F Wang, C Zhang
Proceedings of the 2008 SIAM International Conference on Data Mining, 323-333, 2008
562008
Efficient image classification via multiple rank regression
C Hou, F Nie, D Yi, Y Wu
IEEE Transactions on Image Processing 22 (1), 340-352, 2012
502012
Orthogonal vs. uncorrelated least squares discriminant analysis for feature extraction
F Nie, S Xiang, Y Liu, C Hou, C Zhang
Pattern Recognition Letters 33 (5), 485-491, 2012
412012
Local linear transformation embedding
C Hou, J Wang, Y Wu, D Yi
Neurocomputing 72 (10-12), 2368-2378, 2009
352009
Scalable multi-view semi-supervised classification via adaptive regression
H Tao, C Hou, F Nie, J Zhu, D Yi
IEEE Transactions on Image Processing 26 (9), 4283-4296, 2017
332017
Unsupervised single and multiple views feature extraction with structured graph
W Zhuge, F Nie, C Hou, D Yi
IEEE Transactions on Knowledge and Data Engineering 29 (10), 2347-2359, 2017
312017
Robust non-negative matrix factorization via joint sparse and graph regularization for transfer learning
S Yang, C Hou, C Zhang, Y Wu
Neural Computing and Applications 23 (2), 541-559, 2013
302013
Unsupervised maximum margin feature selection via L2,1-norm minimization
S Yang, C Hou, F Nie, Y Wu
Neural Computing and Applications 21 (7), 1791-1799, 2012
292012
A general framework for transfer sparse subspace learning
S Yang, M Lin, C Hou, C Zhang, Y Wu
Neural Computing and Applications 21 (7), 1801-1817, 2012
242012
An adaptive approach to learning optimal neighborhood kernels
X Liu, J Yin, L Wang, L Liu, J Liu, C Hou, J Zhang
IEEE transactions on cybernetics 43 (1), 371-384, 2012
232012
One-pass learning with incremental and decremental features
C Hou, ZH Zhou
IEEE transactions on pattern analysis and machine intelligence 40 (11), 2776 …, 2017
222017
2D feature selection by sparse matrix regression
C Hou, Y Jiao, F Nie, T Luo, ZH Zhou
IEEE Transactions on Image Processing 26 (9), 4255-4268, 2017
19*2017
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Artiklar 1–20