Kernel Trick Embedded Gaussian Mixture Model. - Jingdong Wang 001; Jianguo Lee; Changshui Zhang (ALT, 2003)

Color Image Segmentation: Kernel Do the Feature Space. - Jianguo Lee; Jingdong Wang 001; Changshui Zhang (ECML, 2003)

Kernel GMM and its application to image binarization. - Jingdong Wang 001; Jianguo Lee; Changshui Zhang (ICME, 2003)

Probabilistic tangent subspace: a unified view. - Jianguo Lee; Jingdong Wang 001; Changshui Zhang; Zhaoqi Bian (ICML, 2004)

Learning probabilistic kernel feature subspace with side-information for classification. - Jianguo Lee; Changshui Zhang; Zhaoqi Bian (IJCNN, 2004)

Visual object recognition using probabilistic kernel subspace similarity. - Jianguo Lee; Jingdong Wang 001; Changshui Zhang; Zhaoqi Bian (Pattern Recognit., 2005)

A Discriminative Method For Semi-Automated Tumorous Tissues Segmentation of MR Brain Images. - Yangqiu Song; Changshui Zhang; Jianguo Lee; Fei Wang 001 (CVPR Workshops, 2006)

Graph Based Multi-class Semi-supervised Learning Using Gaussian Process. - Yangqiu Song; Changshui Zhang; Jianguo Lee (SSPR/SPR, 2006)

Classification of gene-expression data: The manifold-based metric learning way. - Jianguo Lee; Changshui Zhang (Pattern Recognit., 2006)

Semi-supervised discriminative classification with application to tumorous tissues segmentation of MR brain images. - Yangqiu Song; Changshui Zhang; Jianguo Lee; Fei Wang 001; Shiming Xiang; Dan Zhang 007 (Pattern Anal. Appl., 2009)