Dynamic coupled component analysis
暂无分享,去创建一个
[1] Sam T. Roweis,et al. EM Algorithms for PCA and SPCA , 1997, NIPS.
[2] Christoph Bregler,et al. Learning and recognizing human dynamics in video sequences , 1997, Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
[3] S. Haykin,et al. Adaptive Filter Theory , 1986 .
[4] Stuart Geman,et al. Statistical methods for tomographic image reconstruction , 1987 .
[5] Michele Covell,et al. Eigen-points: control-point location using principal component analyses , 1996, Proceedings of the Second International Conference on Automatic Face and Gesture Recognition.
[6] Peter Eisert,et al. Model-based estimation of facial expression parameters from image sequences , 1997, Proceedings of International Conference on Image Processing.
[7] C. Jennison,et al. Robust Statistics: The Approach Based on Influence Functions , 1987 .
[8] Vladimir Pavlovic,et al. Learning Switching Linear Models of Human Motion , 2000, NIPS.
[9] Michael J. Black,et al. Robust Principal Component Analysis for Computer Vision , 2001, ICCV.
[10] Stan Sclaroff,et al. 3D hand pose reconstruction using specialized mappings , 2001, Proceedings Eighth IEEE International Conference on Computer Vision. ICCV 2001.
[11] Richard S. Varga,et al. Matrix Iterative Analysis , 2000, The Mathematical Gazette.
[12] Aaron Hertzmann,et al. Style machines , 2000, SIGGRAPH 2000.
[13] Michael J. Black,et al. A framework for modeling the appearance of 3D articulated figures , 2000, Proceedings Fourth IEEE International Conference on Automatic Face and Gesture Recognition (Cat. No. PR00580).
[14] Alex Pentland,et al. Probabilistic Visual Learning for Object Representation , 1997, IEEE Trans. Pattern Anal. Mach. Intell..
[15] Alex Pentland,et al. Mixtures of eigenfeatures for real-time structure from texture , 1998, Sixth International Conference on Computer Vision (IEEE Cat. No.98CH36271).
[16] David J. Field,et al. Sparse coding with an overcomplete basis set: A strategy employed by V1? , 1997, Vision Research.
[17] J. Gillis,et al. Matrix Iterative Analysis , 1961 .
[18] F. de la Torre. Automatic learning of appearance face models , 2001, Proceedings IEEE ICCV Workshop on Recognition, Analysis, and Tracking of Faces and Gestures in Real-Time Systems.
[19] S. Zamir,et al. Lower Rank Approximation of Matrices by Least Squares With Any Choice of Weights , 1979 .
[20] Matthew Brand,et al. Voice puppetry , 1999, SIGGRAPH.
[21] Michael E. Tipping,et al. Probabilistic Principal Component Analysis , 1999 .
[22] Timothy F. Cootes,et al. Active Appearance Models , 2001, IEEE Trans. Pattern Anal. Mach. Intell..
[23] C. Eckart,et al. The approximation of one matrix by another of lower rank , 1936 .
[24] Alan L. Yuille,et al. Robust principal component analysis by self-organizing rules based on statistical physics approach , 1995, IEEE Trans. Neural Networks.
[25] Louis L. Scharf,et al. The SVD and reduced rank signal processing , 1991, Signal Process..