dblp.uni-trier.dewww.uni-trier.de

Hong Chang

List of publications from the DBLP Bibliography Server - FAQ
Coauthor Index - Ask others: ACM DL/Guide - CiteSeer - CSB - Google - MSN - Yahoo

2009
27EEHong Chang, Xiaoliang Wei, Zuren Feng: Optimum associative neural network utilizing maximum likelihood. Neurocomputing 72(4-6): 1274-1282 (2009)
2008
26 Behnam S. Arad, Hong Chang: A Behavioral Simulator for PCI-Express Transaction Layer. Computers and Their Applications 2008: 275-280
25EEHong Chang, Yi Yao, Andreas Koschan, Besma R. Abidi, Mongi A. Abidi: Spectral range selection for face recognition under various illuminations. ICIP 2008: 2756-2759
24EEBo Li, Hong Chang, Shiguang Shan, Xilin Chen, Wen Gao: Hallucinating facial images and features. ICPR 2008: 1-4
23EEYouhan Fang, Shiguang Shan, Hong Chang, Xilin Chen, Wen Gao: Parzen Discriminant Analysis. ICPR 2008: 1-4
22EEZhigang Ren, Zuren Feng, Liangjun Ke, Hong Chang: A fast and efficient ant colony optimization approach for the set covering problem. IEEE Congress on Evolutionary Computation 2008: 1839-1844
21EEDit-Yan Yeung, Hong Chang, Guang Dai: A Scalable Kernel-Based Semisupervised Metric Learning Algorithm with Out-of-Sample Generalization Ability. Neural Computation 20(11): 2839-2861 (2008)
20EEHong Chang, Zuren Feng, Xiaoliang Wei: Object recognition and tracking with maximum likelihood bidirectional associative memory networks. Neurocomputing 72(1-3): 278-292 (2008)
19EEHong Chang, Dit-Yan Yeung: Robust path-based spectral clustering. Pattern Recognition 41(1): 191-203 (2008)
2007
18EEDit-Yan Yeung, Hong Chang: Locally Smooth Metric Learning with Application to Image Retrieval. ICCV 2007: 1-7
17EEDit-Yan Yeung, Hong Chang, Guang Dai: A Scalable Kernel-Based Algorithm for Semi-Supervised Metric Learning. IJCAI 2007: 1138-1143
16EEDit-Yan Yeung, Hong Chang: A Kernel Approach for Semisupervised Metric Learning. IEEE Transactions on Neural Networks 18(1): 141-149 (2007)
15EEHong Chang, Dit-Yan Yeung: Kernel-based distance metric learning for content-based image retrieval. Image Vision Comput. 25(5): 695-703 (2007)
14EEDit-Yan Yeung, Hong Chang, Guang Dai: Learning the kernel matrix by maximizing a KFD-based class separability criterion. Pattern Recognition 40(7): 2021-2028 (2007)
2006
13 Jeffrey Junfeng Pan, Qiang Yang, Hong Chang, Dit-Yan Yeung: A Manifold Regularization Approach to Calibration Reduction for Sensor-Network Based Tracking. AAAI 2006
12EEHong Chang, Dit-Yan Yeung: Graph Laplacian Kernels for Object Classification from a Single Example. CVPR (2) 2006: 2011-2016
11EEGuang Dai, Dit-Yan Yeung, Hong Chang: Extending Kernel Fisher Discriminant Analysis with the Weighted Pairwise Chernoff Criterion. ECCV (4) 2006: 308-320
10EEHong Chang, Andreas Koschan, Besma R. Abidi, Mongi A. Abidi: Physics-based Fusion of Multispectral Data for Improved Face Recognition. ICPR (3) 2006: 1083-1086
9EEHong Chang, Dit-Yan Yeung, William K. Cheung: Relaxational metric adaptation and its application to semi-supervised clustering and content-based image retrieval. Pattern Recognition 39(10): 1905-1917 (2006)
8EEDit-Yan Yeung, Hong Chang: Extending the relevant component analysis algorithm for metric learning using both positive and negative equivalence constraints. Pattern Recognition 39(5): 1007-1010 (2006)
7EEHong Chang, Dit-Yan Yeung: Robust locally linear embedding. Pattern Recognition 39(6): 1053-1065 (2006)
6EEHong Chang, Dit-Yan Yeung: Locally linear metric adaptation with application to semi-supervised clustering and image retrieval. Pattern Recognition 39(7): 1253-1264 (2006)
2005
5EEHong Chang, Dit-Yan Yeung: Robust Path-Based Spectral Clustering with Application to Image Segmentation. ICCV 2005: 278-285
4EEHong Chang, Dit-Yan Yeung: Kernel-Based Metric Adaptation with Pairwise Constraints. ICMLC 2005: 721-730
2004
3EEHong Chang, Dit-Yan Yeung, Yimin Xiong: Super-Resolution through Neighbor Embedding. CVPR (1) 2004: 275-282
2EEDit-Yan Yeung, Hong Chang, Yimin Xiong, Susan E. George, Ramanujan S. Kashi, Takashi Matsumoto, Gerhard Rigoll: SVC2004: First International Signature Verification Competition. ICBA 2004: 16-22
1EEHong Chang, Dit-Yan Yeung: Locally linear metric adaptation for semi-supervised clustering. ICML 2004

Coauthor Index

1Besma R. Abidi [10] [25]
2Mongi A. Abidi [10] [25]
3Behnam S. Arad [26]
4Xilin Chen [23] [24]
5William Kwok-Wai Cheung (Kwok-Wai Cheung, William K. Cheung) [9]
6Guang Dai [11] [14] [17] [21]
7Youhan Fang [23]
8Zuren Feng [20] [22] [27]
9Wen Gao [23] [24]
10Susan E. George [2]
11Ramanujan S. Kashi [2]
12Liangjun Ke [22]
13Andreas Koschan [10] [25]
14Bo Li [24]
15Takashi Matsumoto [2]
16Jeffrey Junfeng Pan [13]
17Zhigang Ren [22]
18Gerhard Rigoll [2]
19Shiguang Shan (Robert Shan) [23] [24]
20Xiaoliang Wei [20] [27]
21Yimin Xiong [2] [3]
22Qiang Yang [13]
23Yi Yao [25]
24Dit-Yan Yeung [1] [2] [3] [4] [5] [6] [7] [8] [9] [11] [12] [13] [14] [15] [16] [17] [18] [19] [21]

Colors in the list of coauthors

Copyright © Sun May 17 03:24:02 2009 by Michael Ley (ley@uni-trier.de)