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

Kap Luk Chan

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

2009
57EEXinqi Chu, Kap Luk Chan: Rotation and Scale Invariant Texture Analysis with Tunable Gabor Filter Banks. PSIVT 2009: 83-93
2008
56EEYan Gao, Kap Luk Chan, Wei-Yun Yau: Manifold denoising with Gaussian Process Latent Variable Models. ICPR 2008: 1-4
55EEWei Huang, Kap Luk Chan, Yan Gao, Jiayin Zhou, Vincent Chong: Semi-supervised Nasopharyngeal Carcinoma Lesion Extraction from Magnetic Resonance Images Using Online Spectral Clustering with a Learned Metric. MICCAI (1) 2008: 51-58
54EEYun Chen, Flora S. Tsai, Kap Luk Chan: Machine learning techniques for business blog search and mining. Expert Syst. Appl. 35(3): 581-590 (2008)
53EELei Wang, Ping Xue, Kap Luk Chan: Two Criteria for Model Selection in Multiclass Support Vector Machines. IEEE Transactions on Systems, Man, and Cybernetics, Part B 38(6): 1432-1448 (2008)
2007
52EEFlora S. Tsai, Kap Luk Chan: Detecting Cyber Security Threats in Weblogs Using Probabilistic Models. PAISI 2007: 46-57
51EEFlora S. Tsai, Yun Chen, Kap Luk Chan: Probabilistic Techniques for Corporate Blog Mining. PAKDD Workshops 2007: 35-44
50EEJiayin Zhou, Wen Fang, Kap Luk Chan, Vincent F. H. Chong, James B. K. Khoo: Extraction of Metastatic Lymph Nodes from MR Images Using Two Deformable Model-based Approaches. J. Digital Imaging 20(4): 336-346 (2007)
49EEWen Fang, Kap Luk Chan: Incorporating shape prior into geodesic active contours for detecting partially occluded object. Pattern Recognition 40(8): 2163-2172 (2007)
2006
48EEWen Fang, Kap Luk Chan: Learning a New Statistical Shape Prior Model for Object Detection by Geodesic Active Contours. AVSS 2006: 42
47EEPeng Li, Kap Luk Chan, Wen Fang: Hybrid Kernel Machine Ensemble for Imbalanced Data Sets. ICPR (1) 2006: 1108-1111
46EEWen Fang, Kap Luk Chan: Using Statistical Shape Priors in Geodesic Active Contours for Robust Object Detection. ICPR (2) 2006: 304-307
45EEJiayin Zhou, Kap Luk Chan, Pengfei Xu, Vincent F. H. Chong: Nasopharyngeal carcinoma lesion segmentation from MR images by support vector machine. ISBI 2006: 1364-1367
44EEMyo Thida, Kap Luk Chan, How-Lung Eng: An Improved Real-Time Contour Tracking Algorithm Using Fast Level Set Method. PSIVT 2006: 702-711
2005
43EELei Wang, Xuchun Li, Ping Xue, Kap Luk Chan: A novel framework for SVM-based image retrieval on large databases. ACM Multimedia 2005: 487-490
42EEWei Jiang, Kap Luk Chan, Mingjing Li, HongJiang Zhang: Mapping Low-Level Features to High-Level Semantic Concepts in Region-Based Image Retrieval. CVPR (2) 2005: 244-249
41EEPeng Li, Kap Luk Chan, Shankar Muthu Krishnan: Learning a Multi-Size Patch-Based Hybrid Kernel Machine Ensemble for Abnormal Region Detection in Colonoscopic Images. CVPR (2) 2005: 670-675
40EELei Wang, Yan Gao, Kap Luk Chan, Ping Xue, Wei-Yun Yau: Retrieval with Knowledge-driven Kernel Design: An Approach to Improving SVM-Based CBIR with Relevance Feedback. ICCV 2005: 1355-1362
39EEPeng Li, Kap Luk Chan, Sheng Fu, Shankar Muthu Krishnan: An Abnormal ECG Beat Detection Approach for Long-Term Monitoring of Heart Patients Based on Hybrid Kernel Machine Ensemble. Multiple Classifier Systems 2005: 346-355
38EELei Wang, Kap Luk Chan, Ping Xue: A criterion for optimizing kernel parameters in KBDA for image retrieval. IEEE Transactions on Systems, Man, and Cybernetics, Part B 35(3): 556-562 (2005)
2004
37 Zhihua Zhang, Kap Luk Chan, James T. Kwok, Dit-Yan Yeung: Bayesian Inference on Principal Component Analysis Using Reversible Jump Markov Chain Monte Carlo. AAAI 2004: 372-377
36EELei Wang, Ping Xue, Kap Luk Chan: Incorporating Prior Knowledge into SVM for Image Retrieval. ICPR (2) 2004: 981-984
35EEPeng Li, Kap Luk Chan, Shankar Muthu Krishnan, Yan Gao: Detecting Abnormal Regions in Colonoscopic Images by Patch-based Classifier Ensemble. ICPR (3) 2004: 774-777
34EEYiming Wu, Kap Luk Chan, Lei Wang: Face Recognition Based on Discriminative Manifold Learning. ICPR (4) 2004: 171-174
33EEXuejian Xiong, Kap Luk Chan: Similarity-Driven Cluster Merging Method for Unsupervised Fuzzy Clustering. UAI 2004: 611-627
32EEYong Huang, Kap Luk Chan: Texture decomposition by harmonics extraction from higher order statistics. IEEE Transactions on Image Processing 13(1): 1-14 (2004)
31EEZhihua Zhang, Kap Luk Chan, Yiming Wu, Chibiao Chen: Learning a multivariate Gaussian mixture model with the reversible jump MCMC algorithm. Statistics and Computing 14(4): 343-355 (2004)
2003
30EELei Wang, Kap Luk Chan, Zhihua Zhang: Bootstrapping SVM Active Learning by Incorporating Unlabelled Images for Image Retrieval. CVPR (1) 2003: 629-634
29 Lei Wang, Kap Luk Chan, Yap Peng Tan: Image retrieval with SVM active learning embedding Euclidean search. ICIP (1) 2003: 725-728
28EELei Wang, Kap Luk Chan: A Dynamic Sub-vector Weighting Scheme for Image Retrieval with Relevance Feedback. Pattern Anal. Appl. 6(3): 212-223 (2003)
27EEZhihua Zhang, Chibiao Chen, Jian Sun, Kap Luk Chan: EM algorithms for Gaussian mixtures with split-and-merge operation. Pattern Recognition 36(9): 1973-1983 (2003)
26EEYong Huang, Kap Luk Chan, Zhihua Zhang: Texture classification by multi-model feature integration using Bayesian networks. Pattern Recognition Letters 24(1-3): 393-401 (2003)
25EEHuawu Deng, Kap Luk Chan, Jun Liu: The Poisson equation for image texture modelling. Pattern Recognition Letters 24(9-10): 1571-1582 (2003)
2002
24EEYong Huang, Kap Luk Chan: A linear compositional model for analyzing and classifying image textures. ICARCV 2002: 108-113
23EELei Wang, Kap Luk Chan, Xuejian Xiong: A Sub-Vector Weighting Scheme for Image Retrieval with Relevance Feedback. Int. J. Image Graphics 2(2): 199-213 (2002)
2001
22 Yong Huang, Kap Luk Chan, ZhongYang Huang: Harmonics Extraction Based on Higher Order Statistics Spectrum Decomposition for A Unified Texture Model. ICCV 2001: 245-250
21EEGuodong Guo, Stan Z. Li, Kap Luk Chan: Support vector machines for face recognition. Image Vision Comput. 19(9-10): 631-638 (2001)
2000
20EEGuodong Guo, Stan Z. Li, Kap Luk Chan: Learning Similarity for Texture Image Retrieval. ECCV (1) 2000: 178-190
19EEGuodong Guo, Stan Z. Li, Kap Luk Chan: Face Recognition by Support Vector Machines. FG 2000: 196-201
18 Yong Huang, Kap Luk Chan, ZhongYang Huang: An Adaptive Model for Texture Analysis. ICIP 2000
17 Jinxiang Liu, ZhongYang Huang, Kap Luk Chan: Direct Minutiae Extraction from Gray-Level Fingerprint Image by Relationship Examination. ICIP 2000
16 ZhongYang Huang, Kap Luk Chan, Yong Huang: Local Spectra Features Extraction Based-On 2D Pseudo-Wigner Distribution for Texture Analysis. ICIP 2000
15EEZonglin Zhou, Stan Z. Li, Kap Luk Chan: A Theoretical Justification of Nearest Feature Line Method. ICPR 2000: 2759-2762
14EEYong Huang, Kap Luk Chan, ZhongYang Huang: An Adaptive Model for Texture Classification. ICPR 2000: 3905-3908
13EEXuejian Xiong, Kap Luk Chan: Towards An Unsupervised Optimal Fuzzy Clustering Algorithm for Image Database Organization. ICPR 2000: 3909-3912
12EEZhongYang Huang, Kap Luk Chan, Yong Huang: Local Spectra Features Extraction Based-On 2D Pseudo-Wigner Distribution for Texture Analysis. ICPR 2000: 3925-3928
11EELei Wang, Kap Luk Chan: Bayesian Learning for Image Retrieval Using Multiple Features. IDEAL 2000: 473-478
10EEFan Liu, Xuejian Xiong, Kap Luk Chan: Natural Image Retrieval based on Features of Homogeneous Color Regions. SSIAI 2000: 73-77
9EEKap Luk Chan, Xuejian Xiong, Fan Liu, Ricky Purnomo: Content-Based Image Retrieval Using Regional Representation. Theoretical Foundations of Computer Vision 2000: 238-250
8EEStan Z. Li, Kap Luk Chan, Changliang Wang: Performance Evaluation of the Nearest Feature Line Method in Image Classification and Retrieval. IEEE Trans. Pattern Anal. Mach. Intell. 22(11): 1335-1349 (2000)
1998
7 Stan Z. Li, Y. H. Huang, J. S. Fu, Kap Luk Chan: Edge-Preserving Smoothing by Convex Minimization. ACCV (1) 1998: 746-753
6 Tianrong Liu, Kap Luk Chan, Stan Z. Li: Model-Based Active Object Recognition Using MRF Matching and Sensor Planning. ACCV (2) 1998: 225-232
5 Zhiqiang Zheng, Han Wang, Eam Khwang Teoh, Kap Luk Chan: A New Approach of Gray Level Corner Detection. IVCNZ 1998: 202-207
4 Sriram Subramanian, Kap Luk Chan, Xioran Mo: Regular Texture Fault Detection by Wold-Like Decomposition. IVCNZ 1998: 208-215
3 Zehang Sun, Dinesh P. Mital, Kap Luk Chan: A Representation for 3-D Free-form Object Recognition. IVCNZ 1998: 315-320
2 Xiaoran Mo, Kap Luk Chan: Regularity Measures for Quasi-periodic Textures. IVCNZ 1998: 327-333
1996
1EEStan Z. Li, Kap Luk Chan, Han Wang: Bayesian image restoration and segmentation by constrained optimizatio. CVPR 1996: 1-6

Coauthor Index

1Chibiao Chen [27] [31]
2Yun Chen [51] [54]
3Vincent Chong [55]
4Vincent F. H. Chong [45] [50]
5Xinqi Chu [57]
6Huawu Deng [25]
7How-Lung Eng [44]
8Wen Fang [46] [47] [48] [49] [50]
9J. S. Fu [7]
10Sheng Fu [39]
11Yan Gao [35] [40] [55] [56]
12Guodong Guo [19] [20] [21]
13Wei Huang [55]
14Y. H. Huang [7]
15Yong Huang [12] [14] [16] [18] [22] [24] [26] [32]
16ZhongYang Huang [12] [14] [16] [17] [18] [22]
17Wei Jiang [42]
18James B. K. Khoo [50]
19Shankar Muthu Krishnan [35] [39] [41]
20James Tin-Yau Kwok (James T. Kwok) [37]
21Mingjing Li [42]
22Peng Li [35] [39] [41] [47]
23Stan Z. Li [1] [6] [7] [8] [15] [19] [20] [21]
24Xuchun Li [43]
25Fan Liu [9] [10]
26Jinxiang Liu [17]
27Jun Liu [25]
28Tianrong Liu [6]
29Dinesh P. Mital [3]
30Xiaoran Mo [2]
31Xioran Mo [4]
32Ricky Purnomo [9]
33Sriram Subramanian [4]
34Jian Sun [27]
35Zehang Sun [3]
36Yap Peng Tan [29]
37Eam Khwang Teoh [5]
38Myo Thida [44]
39Flora S. Tsai [51] [52] [54]
40Changliang Wang [8]
41Han Wang [1] [5]
42Lei Wang [11] [23] [28] [29] [30] [34] [36] [38] [40] [43] [53]
43Yiming Wu [31] [34]
44Xuejian Xiong [9] [10] [13] [23] [33]
45Pengfei Xu [45]
46Ping Xue [36] [38] [40] [43] [53]
47Wei-Yun Yau [40] [56]
48Dit-Yan Yeung [37]
49HongJiang Zhang (Hong-Jiang Zhang) [42]
50Zhihua Zhang [26] [27] [30] [31] [37]
51Zhiqiang Zheng [5]
52Jiayin Zhou [45] [50] [55]
53Zonglin Zhou [15]

Colors in the list of coauthors

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