Learning spatially localized, parts-based representation
暂无分享,去创建一个
Stan Z. Li | QianSheng Cheng | HongJiang Zhang | XinWen Hou | S. Li | HongJiang Zhang | Xinwen Hou | Qiansheng Cheng
[1] Keinosuke Fukunaga,et al. Introduction to Statistical Pattern Recognition , 1972 .
[2] D. Rubin,et al. Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper , 1977 .
[3] L Sirovich,et al. Low-dimensional procedure for the characterization of human faces. , 1987, Journal of the Optical Society of America. A, Optics and image science.
[4] Lawrence Sirovich,et al. Application of the Karhunen-Loeve Procedure for the Characterization of Human Faces , 1990, IEEE Trans. Pattern Anal. Mach. Intell..
[5] Alex Pentland,et al. Face recognition using eigenfaces , 1991, Proceedings. 1991 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
[6] Christian Jutten,et al. Blind separation of sources, part I: An adaptive algorithm based on neuromimetic architecture , 1991, Signal Process..
[7] Tomaso Poggio,et al. Example Based Image Analysis and Synthesis , 1993 .
[8] Pierre Comon,et al. Independent component analysis, A new concept? , 1994, Signal Process..
[9] Alex Pentland,et al. View-based and modular eigenspaces for face recognition , 1994, 1994 Proceedings of IEEE Conference on Computer Vision and Pattern Recognition.
[10] Penio S. Penev,et al. Local feature analysis: A general statistical theory for object representation , 1996 .
[11] Terrence J. Sejnowski,et al. The “independent components” of natural scenes are edge filters , 1997, Vision Research.
[12] H. Sebastian Seung,et al. Learning the parts of objects by non-negative matrix factorization , 1999, Nature.
[13] H. Sebastian Seung,et al. Algorithms for Non-negative Matrix Factorization , 2000, NIPS.