Learning and Vision Lab, ECE, NUS

Journal Papers 2006

  1. Jun Yan, Benyu Zhang, Ning Liu, Shuicheng Yan, QianSheng Cheng, Weiguo Fan, Qiang Yang, Wensi Xi, Zheng Chen. Effective and Efficient Dimensionality Reduction for Large Scale and Streaming Data Processing. In IEEE Transactions on Knowledge and Data Engineering 18(3): 320-333, 2006.
  2. Jun Yan, Benyu Zhang, Shuicheng Yan, Ning Liu, Qiang Yang, QianSheng Cheng, Hua Li, Zheng Chen, Wei-Ying Ma. A Scalable Supervised Dimensionality Reduction Algorithm on Streaming Data. In Information Sciences Journal-Informatics and Computer Science Intelligent Systems Applications 176(14): 2042-2065, 2006.
  3. HongJiang Zhang. Human Gait Recognition with Matrix Representation. In IEEE Transactions on Circuits and Systems for Video Technology (TCSVT) 16(7): 896-903, 2006.

Conference Papers 2006

  1. Jun Yan, Ning Liu, Benyu Zhang, Qiang Yang, Shuicheng Yan, Zheng Chen. A Novel Scalable Algorithm for Supervised Subspace Learning. In Proceedings of International Conference on Data Mining (ICDM), pp. 721-730, 2006.
  2. Huan Wang, Shuicheng Yan, Thomas S. Huang, Xiaoou Tang. Maximum Unfolded Embedding: Formulation, Solution and Application for Image Clustering. In Proceedings of ACM International Conference on Multimedia (MM), pp. 45-48, 2006.
  3. Shuicheng Yan, Xiaoou Tang. Dimensionality Reduction with Adaptive Kernels. In Proceedings of International Conference on Pattern Recognition (ICPR), pp. 626-629, 2006.
  4. Tianqiang Yuan, Shuicheng Yan, Xiaoou Tang. Perspective Symmetry Invariant and Its Applications. In Proceedings of International Conference on Pattern Recognition (ICPR), pp. 65-68, 2006.
  5. Juan Dai, Shuicheng Yan, Xiaoou Tang, James Kwok. Locally adaptive classification piloted by uncertainty. In Proceedings of International Conference on Machine Learning (ICML), pp. 225-232, 2006.
  6. Shuicheng Yan, Xiaoou Tang, Tianqiang Yuan. Learning Semantic Patterns with Discriminant Localized Binary Projections. In Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 168-174, 2006.
  7. Dong Xu, Stephen Lin, Shuicheng Yan, Xiaoou Tang. Rank-one Projections with Adaptive Margins for Face Recognition. In Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 175-181, 2006.
  8. Dahua Lin, Shuicheng Yan, Xiaoou Tang. Pursuing Informative Projection on Grassmann Manifold. In Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 1727-1734, 2006.
  9. Shuicheng Yan, Xiaoou Tang. Trace Quotient Problems Revisited. In Proceedings of European Conference on Computer Vision (ECCV), pp. 232-244, 2006.
  10. Shu Yang, Shuicheng Yan, Dong Xu, Xiaoou Tang, Chao Zhang. Fisher + Kernel Criterion for Discriminant Analysis. In Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 197-202, 2006.
  11. Dong Xu, Shuicheng Yan, Lei Zhang, Hong-Jiang Zhang, Zhengkai Liu, Heung-Yeung Shum. Concurrent Subspace Analysis. In Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 203-208, 2006.
  12. Shuicheng Yan, Dong Xu, Benyu Zhang, Hong-Jiang Zhang. Graph Embedding: A General Framework for Dimensionality Reduction. In Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 830-837, 2006.
  13. Shuicheng Yan, Dong Xu, Qiang Yang, Lei Zhang, Xiaoou Tang, Hong-Jiang Zhang. Discriminant Analysis with Tensor Representation. In Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 526-532, 2006.
  14. Shuicheng Yan, Dong Xu, Lei Zhang, Benyu Zhang, Hong-Jiang Zhang. Coupled Kernel-based Subspace learning. In Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 645-650, 2006.