| * | 2009 |
| 59 | EE | Wei Huang,
Huiqi Li,
Kap Luk Chan,
Joo-Hwee Lim,
Jiang Liu,
Tien Yin Wong:
A Computer-Aided Diagnosis System of Nuclear Cataract via Ranking.
MICCAI (1) 2009: 803-810 |
| 58 | EE | Xinqi Chu,
Kap Luk Chan:
Rotation and Scale Invariant Texture Analysis with Tunable Gabor Filter Banks.
PSIVT 2009: 83-93 |
| 2008 |
| 57 | EE | Yan Gao,
Kap Luk Chan,
Wei-Yun Yau:
Manifold denoising with Gaussian Process Latent Variable Models.
ICPR 2008: 1-4 |
| 56 | EE | Wei 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 |
| 55 | EE | Yun Chen,
Flora S. Tsai,
Kap Luk Chan:
Machine learning techniques for business blog search and mining.
Expert Syst. Appl. 35(3): 581-590 (2008) |
| 54 | EE | Lei Wang,
Kap Luk Chan,
Ping Xue,
Luping Zhou:
A Kernel-Induced Space Selection Approach to Model Selection in KLDA.
IEEE Transactions on Neural Networks 19(12): 2116-2131 (2008) |
| 53 | EE | Lei 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 |
| 52 | EE | Flora S. Tsai,
Kap Luk Chan:
Detecting Cyber Security Threats in Weblogs Using Probabilistic Models.
PAISI 2007: 46-57 |
| 51 | EE | Flora S. Tsai,
Yun Chen,
Kap Luk Chan:
Probabilistic Techniques for Corporate Blog Mining.
PAKDD Workshops 2007: 35-44 |
| 50 | EE | Jiayin 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) |
| 49 | EE | Wen Fang,
Kap Luk Chan:
Incorporating shape prior into geodesic active contours for detecting partially occluded object.
Pattern Recognition 40(8): 2163-2172 (2007) |
| 2006 |
| 48 | EE | Wen Fang,
Kap Luk Chan:
Learning a New Statistical Shape Prior Model for Object Detection by Geodesic Active Contours.
AVSS 2006: 42 |
| 47 | EE | Peng Li,
Kap Luk Chan,
Wen Fang:
Hybrid Kernel Machine Ensemble for Imbalanced Data Sets.
ICPR (1) 2006: 1108-1111 |
| 46 | EE | Wen Fang,
Kap Luk Chan:
Using Statistical Shape Priors in Geodesic Active Contours for Robust Object Detection.
ICPR (2) 2006: 304-307 |
| 45 | EE | Jiayin 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 |
| 44 | EE | Myo Thida,
Kap Luk Chan,
How-Lung Eng:
An Improved Real-Time Contour Tracking Algorithm Using Fast Level Set Method.
PSIVT 2006: 702-711 |
| 2005 |
| 43 | EE | Lei Wang,
Xuchun Li,
Ping Xue,
Kap Luk Chan:
A novel framework for SVM-based image retrieval on large databases.
ACM Multimedia 2005: 487-490 |
| 42 | EE | Wei 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 |
| 41 | EE | Peng 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 |
| 40 | EE | Lei 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 |
| 39 | EE | Peng 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 |
| 38 | EE | Lei 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 |
| 36 | EE | Lei Wang,
Ping Xue,
Kap Luk Chan:
Incorporating Prior Knowledge into SVM for Image Retrieval.
ICPR (2) 2004: 981-984 |
| 35 | EE | Peng 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 |
| 34 | EE | Yiming Wu,
Kap Luk Chan,
Lei Wang:
Face Recognition Based on Discriminative Manifold Learning.
ICPR (4) 2004: 171-174 |
| 33 | EE | Xuejian Xiong,
Kap Luk Chan:
Similarity-Driven Cluster Merging Method for Unsupervised Fuzzy Clustering.
UAI 2004: 611-627 |
| 32 | EE | Yong Huang,
Kap Luk Chan:
Texture decomposition by harmonics extraction from higher order statistics.
IEEE Transactions on Image Processing 13(1): 1-14 (2004) |
| 31 | EE | Zhihua 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 |
| 30 | EE | Lei 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 |
| 28 | EE | Lei Wang,
Kap Luk Chan:
A Dynamic Sub-vector Weighting Scheme for Image Retrieval with Relevance Feedback.
Pattern Anal. Appl. 6(3): 212-223 (2003) |
| 27 | EE | Zhihua 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) |
| 26 | EE | Yong 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) |
| 25 | EE | Huawu Deng,
Kap Luk Chan,
Jun Liu:
The Poisson equation for image texture modelling.
Pattern Recognition Letters 24(9-10): 1571-1582 (2003) |
| 2002 |
| 24 | EE | Yong Huang,
Kap Luk Chan:
A linear compositional model for analyzing and classifying image textures.
ICARCV 2002: 108-113 |
| 23 | EE | Lei 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 |
| 21 | EE | Guodong Guo,
Stan Z. Li,
Kap Luk Chan:
Support vector machines for face recognition.
Image Vision Comput. 19(9-10): 631-638 (2001) |
| 2000 |
| 20 | EE | Guodong Guo,
Stan Z. Li,
Kap Luk Chan:
Learning Similarity for Texture Image Retrieval.
ECCV (1) 2000: 178-190 |
| 19 | EE | Guodong 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 |
| 15 | EE | Zonglin Zhou,
Stan Z. Li,
Kap Luk Chan:
A Theoretical Justification of Nearest Feature Line Method.
ICPR 2000: 2759-2762 |
| 14 | EE | Yong Huang,
Kap Luk Chan,
ZhongYang Huang:
An Adaptive Model for Texture Classification.
ICPR 2000: 3905-3908 |
| 13 | EE | Xuejian Xiong,
Kap Luk Chan:
Towards An Unsupervised Optimal Fuzzy Clustering Algorithm for Image Database Organization.
ICPR 2000: 3909-3912 |
| 12 | EE | ZhongYang Huang,
Kap Luk Chan,
Yong Huang:
Local Spectra Features Extraction Based-On 2D Pseudo-Wigner Distribution for Texture Analysis.
ICPR 2000: 3925-3928 |
| 11 | EE | Lei Wang,
Kap Luk Chan:
Bayesian Learning for Image Retrieval Using Multiple Features.
IDEAL 2000: 473-478 |
| 10 | EE | Fan Liu,
Xuejian Xiong,
Kap Luk Chan:
Natural Image Retrieval based on Features of Homogeneous Color Regions.
SSIAI 2000: 73-77 |
| 9 | EE | Kap Luk Chan,
Xuejian Xiong,
Fan Liu,
Ricky Purnomo:
Content-Based Image Retrieval Using Regional Representation.
Theoretical Foundations of Computer Vision 2000: 238-250 |
| 8 | EE | Stan 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 |
| 1 | EE | Stan Z. Li,
Kap Luk Chan,
Han Wang:
Bayesian image restoration and segmentation by constrained optimizatio.
CVPR 1996: 1-6 |