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Daoqiang Zhang

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2007
20EEDaoqiang Zhang: Two-Dimensional Bayesian Subspace Analysis for Face Recognition. ISNN (2) 2007: 778-784
19EEDaoqiang Zhang, Zhi-Hua Zhou, Songcan Chen: Semi-Supervised Dimensionality Reduction. SDM 2007
18EEJun Liu, Songcan Chen, Xiaoyang Tan, Daoqiang Zhang: Comments on "Efficient and Robust Feature Extraction by Maximum Margin Criterion". IEEE Transactions on Neural Networks 18(6): 1862-1864 (2007)
17EEWeiling Cai, Songcan Chen, Daoqiang Zhang: Fast and robust fuzzy c-means clustering algorithms incorporating local information for image segmentation. Pattern Recognition 40(3): 825-838 (2007)
2006
16EEDaoqiang Zhang, Zhi-Hua Zhou, Songcan Chen: Adaptive Kernel Principal Component Analysis with Unsupervised Learning of Kernels. ICDM 2006: 1178-1182
15EEDaoqiang Zhang, Zhi-Hua Zhou, Songcan Chen: Non-negative Matrix Factorization on Kernels. PRICAI 2006: 404-412
14EEDaoqiang Zhang, Songcan Chen, Zhi-Hua Zhou: Recognizing Face or Object from a Single Image: Linear vs. Kernel Methods on 2D Patterns. SSPR/SPR 2006: 889-897
13EEDaoqiang Zhang, Songcan Chen, Zhi-Hua Zhou: Learning the kernel parameters in kernel minimum distance classifier. Pattern Recognition 39(1): 133-135 (2006)
12EEDaoqiang Zhang, Zhi-Hua Zhou, Songcan Chen: Diagonal principal component analysis for face recognition. Pattern Recognition 39(1): 140-142 (2006)
2005
11EEDaoqiang Zhang, Songcan Chen, Zhi-Hua Zhou: Two-Dimensional Non-negative Matrix Factorization for Face Representation and Recognition. AMFG 2005: 350-363
10EEDaoqiang Zhang, Songcan Chen, Jun Liu: Representing Image Matrices: Eigenimages Versus Eigenvectors. ISNN (2) 2005: 659-664
9EEDaoqiang Zhang, Songcan Chen, Keren Tan: Improving the Robustness of 'Online Agglomerative Clustering Method' Based on Kernel-Induce Distance Measures. Neural Processing Letters 21(1): 45-51 (2005)
8EEDaoqiang Zhang, Songcan Chen: Fast image compression using matrix K-L transform. Neurocomputing 68: 258-266 (2005)
7EEDaoqiang Zhang, Zhi-Hua Zhou: (2D)2PCA: Two-directional two-dimensional PCA for efficient face representation and recognition. Neurocomputing 69(1-3): 224-231 (2005)
6EESongcan Chen, Yulian Zhu, Daoqiang Zhang, Jing-Yu Yang: Feature extraction approaches based on matrix pattern: MatPCA and MatFLDA. Pattern Recognition Letters 26(8): 1157-1167 (2005)
2004
5EEDaoqiang Zhang, Keren Tan, Songcan Chen: Semi-supervised Kernel-Based Fuzzy C-Means. ICONIP 2004: 1229-1234
4EEKeren Tan, Songcan Chen, Daoqiang Zhang: Robust Image Denoising Using Kernel-Induced Measures. ICPR (4) 2004: 685-688
3EEDaoqiang Zhang, Songcan Chen, Zhi-Hua Zhou: Fuzzy-Kernel Learning Vector Quantization. ISNN (1) 2004: 180-185
2EESongcan Chen, Daoqiang Zhang: Robust image segmentation using FCM with spatial constraints based on new kernel-induced distance measure. IEEE Transactions on Systems, Man, and Cybernetics, Part B 34(4): 1907-1916 (2004)
1EESongcan Chen, Daoqiang Zhang, Zhi-Hua Zhou: Enhanced (PC)2 A for face recognition with one training image per person Pattern Recognition Letters 25(10): 1173-1181 (2004)

Coauthor Index

1Weiling Cai [17]
2Songcan Chen [1] [2] [3] [4] [5] [6] [8] [9] [10] [11] [12] [13] [14] [15] [16] [17] [18] [19]
3Jun Liu [10] [18]
4Keren Tan [4] [5] [9]
5Xiaoyang Tan [18]
6Jing-Yu Yang [6]
7Zhi-Hua Zhou [1] [3] [7] [11] [12] [13] [14] [15] [16] [19]
8Yulian Zhu [6]

Copyright © Thu Jun 5 07:42:39 2008 by Michael Ley (ley@uni-trier.de)