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Note: Links lead to the DBLP on the Web. Qingshan Liu Jia Wang , Haifeng Wang , Qingshan Liu, Hanqing Lu : Automatic Moving Object Segmentation with Accurate Boundaries. ACCV (1) 2006 : 276-285 Qingshan Liu, Hongliang Jin , Xiaoou Tang , Hanqing Lu , Songde Ma : Boosting Multi-gabor Subspaces for Face Recognition. ACCV (1) 2006 : 539-548 Zhenglong Li , Qingshan Liu, Hanqing Lu : A Geometric Contour Framework with Vector Field Support. ACCV (2) 2006 : 214-223 Wang Yan , Qingshan Liu, Hanqing Lu , Songde Ma : Multiple Similarities Based Kernel Subspace Learning for Image Classification. ACCV (2) 2006 : 244-253 Jia Wang , Haifeng Wang , Qingshan Liu, Hanqing Lu : Fast Global Motion Estimation Via Iterative Least-Square Method. ACCV (2) 2006 : 343-352 Qingshan Liu, Jun Wang , Jinde Cao : A Delayed Lagrangian Network for Solving Quadratic Programming Problems with Equality Constraints. ISNN (1) 2006 : 369-378 Jian Cheng , Qingshan Liu, Hanqing Lu , Yen-Wei Chen : Ensemble learning for independent component analysis. Pattern Recognition 39 (1): 81-88 (2006) Qingshan Liu, Zhigang Hua , Cunxun Zang , Xiaofeng Tong , Hanqing Lu : Providing on-demand sports video to mobile devices. ACM Multimedia 2005 : 347-350 Zhigang Hua , Xiang-Jun Wang , Qingshan Liu, Hanqing Lu : Semantic knowledge extraction and annotation for web images. ACM Multimedia 2005 : 467-470 Xiaofeng Tong , Qingshan Liu, Yifan Zhang , Hanqing Lu : Highlight ranking for sports video browsing. ACM Multimedia 2005 : 519-522 Qingshan Liu, Xiaoou Tang , Hongliang Jin , Hanqing Lu , Songde Ma : A Nonlinear Approach for Face Sketch Synthesis and Recognition. CVPR (1) 2005 : 1005-1010 Jian Cheng , Qingshan Liu, Hanqing Lu , Yen-Wei Chen : Supervised kernel locality preserving projections for face recognition. Neurocomputing 67 : 443-449 (2005) Hongliang Jin , Qingshan Liu, Hanqing Lu : Face Detection Using One-Class-Based Support Vectors. FGR 2004 : 457-462 Qingshan Liu, Jian Cheng , Hanqing Lu , Songde Ma : Modeling Face Appearance With Nonlinear Independent Component Analysis. FGR 2004 : 761-766 Xiaofeng Tong , Qingshan Liu, Hanqing Lu : Semantic units based events detection in soccer videos. ICIP 2004 : 1621-1624 Jia Wang , Hanqing Lu , Qingshan Liu: Feature space analysis using low-order tensor voting. ICIP 2004 : 2681-2684 Jian Cheng , Qingshan Liu, Hanqing Lu , Yen-Wei Chen : A supervised nonlinear local embedding for face recognition. ICIP 2004 : 83-86 Jian Cheng , Qingshan Liu, Hanqing Lu , Yen-Wei Chen : Texture Classification Using Kernel Independent Component Analysi. ICPR (1) 2004 : 620-623 Qingshan Liu, Xiaoou Tang , Hanqing Lu , Songde Ma : Kernel Scatter-Difference Based Discriminant Analysis For Face Recognition. ICPR (2) 2004 : 419-422 Jia Wang , Hanqing Lu , Qingshan Liu: Tensor Voting Toward Feature Space Analysis. ICPR (3) 2004 : 462-465 Qingshan Liu, Jian Cheng , Hanqing Lu , Songde Ma : Distance Based Kernel PCA Image Reconstruction. ICPR (3) 2004 : 670-673 Qingshan Liu, Jian Cheng , Hanqing Lu , Songde Ma : Improving ICA Performance for Modeling Image Appearance with the Kernel Trick. KES 2004 : 344-351 Jian Cheng , Qingshan Liu, Hanqing Lu , Yen-Wei Chen : Random Independent Subspace for Face Recognition. KES 2004 : 352-358 Qingshan Liu, Hanqing Lu , Songde Ma : Improving kernel Fisher discriminant analysis for face recognition. IEEE Trans. Circuits Syst. Video Techn. 14 (1): 42-49 (2004) Qingshan Liu, Rui Huang , Hanqing Lu , Songde Ma : Kernel-Based Nonlinear Discriminant Analysis for Face Recognition. J. Comput. Sci. Technol. 18 (6): 788-795 (2003) Qingshan Liu, Rui Huang , Hanqing Lu , Songde Ma : Face Recognition Using Kernel Based Fisher Discriminant Analysis. FGR 2002 : 197-201 Qingshan Liu, Rui Huang , Hanqing Lu , Songde Ma : Kernel-Based Optimized Feature Vectors Selection and Discriminant Analysis for Face Recognition. ICPR (2) 2002 : 362-365 Rui Huang , Qingshan Liu, Hanqing Lu , Songde Ma : Solving the Small Sample Size Problem of LDA. ICPR (3) 2002 : 29-32 Qingshan Liu, Songde Ma , Hanqing Lu : Head Tracking Using Shapes and Adaptive Color Histograms. J. Comput. Sci. Technol. 17 (6): 859-864 (2002) 1 [ 24 ] 2 [ 7 ] [ 12 ] [ 13 ] [ 18 ] [ 23 ] 3 [ 7 ] [ 8 ] [ 9 ] [ 12 ] [ 13 ] [ 16 ] [ 18 ] [ 23 ] 4 [ 21 ] [ 22 ] 5 [ 2 ] [ 3 ] [ 4 ] [ 5 ] 6 [ 17 ] [ 19 ] [ 28 ] 7 [ 27 ] 8 [ 1 ] [ 2 ] [ 3 ] [ 4 ] [ 5 ] [ 6 ] [ 7 ] [ 8 ] [ 9 ] [ 10 ] [ 11 ] [ 12 ] [ 13 ] [ 14 ] [ 15 ] [ 16 ] [ 17 ] [ 18 ] [ 19 ] [ 20 ] [ 21 ] [ 22 ] [ 23 ] [ 25 ] [ 26 ] [ 27 ] [ 28 ] [ 29 ] 9 [ 1 ] [ 2 ] [ 3 ] [ 4 ] [ 5 ] [ 6 ] [ 8 ] [ 9 ] [ 11 ] [ 16 ] [ 19 ] [ 26 ] [ 28 ] 10 [ 11 ] [ 19 ] [ 28 ] 11 [ 15 ] [ 20 ] [ 22 ] 12 [ 25 ] [ 29 ] 13 [ 10 ] [ 14 ] [ 25 ] [ 29 ] 14 [ 24 ] 15 [ 21 ] 16 [ 26 ] 17 [ 22 ] 18 [ 20 ]  ©2006 Association for Computing Machinery |
