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Journal Articles
- 2009
[j3]Yangqiu Song
, Changshui Zhang, Jianguo Lee, Fei Wang, Shiming Xiang, Dan Zhang:
Semi-supervised discriminative classification with application to tumorous tissues segmentation of MR brain images. Pattern Anal. Appl. 12(2): 99-115 (2009)- 2006
- [j2]Jianguo Lee, Changshui Zhang:
Classification of gene-expression data: The manifold-based metric learning way. Pattern Recognit. 39(12): 2450-2463 (2006) - 2005
- [j1]Jianguo Lee, Jingdong Wang, Changshui Zhang, Zhaoqi Bian:
Visual object recognition using probabilistic kernel subspace similarity. Pattern Recognit. 38(7): 997-1008 (2005)
Conference and Workshop Papers
- 2006
- [c6]Yangqiu Song, Changshui Zhang, Jianguo Lee, Fei Wang:
A Discriminative Method For Semi-Automated Tumorous Tissues Segmentation of MR Brain Images. CVPR Workshops 2006: 79 - [c5]Yangqiu Song, Changshui Zhang, Jianguo Lee:
Graph Based Multi-class Semi-supervised Learning Using Gaussian Process. SSPR/SPR 2006: 450-458 - 2004
- [c4]Jianguo Lee, Jingdong Wang, Changshui Zhang, Zhaoqi Bian:
Probabilistic tangent subspace: a unified view. ICML 2004 - 2003
- [c3]Jingdong Wang, Jianguo Lee, Changshui Zhang:
Kernel Trick Embedded Gaussian Mixture Model. ALT 2003: 159-174 - [c2]Jianguo Lee, Jingdong Wang, Changshui Zhang:
Color Image Segmentation: Kernel Do the Feature Space. ECML 2003: 253-264 - [c1]Jingdong Wang, Jianguo Lee, Changshui Zhang:
Kernel GMM and its application to image binarization. ICME 2003: 533-536
Coauthor Index
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