Application of Non-negative sparse matrix factorization in occluded face recognition
Abstract
Keywords
References
[1] Guillamet D, Vitria J. Non-negative matrix factorization forface recognition, J. Lecture Notes on Artificial Intelligence,504(2):336-344,2002.
[2] Ouhsain M,Hamza A B.Image watermarking scheme us-ing nonnegative matrix factorization and wavelet transform.Expert Systems with Applications,36(2):2123-2129,2009.
http://dx.doi.org/10.1016/j.eswa.2007.12.046
[3] Guan X H,Wang W,Zhang X L.Fast intrusion detectionbased on a non-negative matrix factorization model. Journal of Network and Computer Applications,32(1):31-44,2009.
http://dx.doi.org/10.1016/j.jnca.2008.04.006
[4] Li Le and Zhang Yu-jin. A survey on algorithms of non-negative matrix factorization, J.Acta Electronica sinica,36(4):737-743,2008.
[5] Lee Ju-Hong,Park Sun, Ahna Chan-Min, and Kim Daeho.Automatic generic document summarization based on non-negative matrix factorization[J]. Information Processing and Management,6(2):20-34,2008.
[6] O H Patrik. Non negative Matrix Factorization with Sparseness Constraints, J.Journal of Machine Learning Research,(5):1457-1469,2004.
[7] Li L,Zhang Y J.Fast NMF:highly e-cient monotonic fixed-point non-negative matrix factorization algorithm with good applicability. Journal of Electronic Imaging,18(3):033004,2009.
http://dx.doi.org/10.1117/1.3184771
[8] Zhang Daoqiang, Zhou Zhi-Hua, Chen Songcan. Diagonalprincipal component analysis for face recognition,J. PatternRecognition,39(1):140-142,2006.
[9] LEE D D,SEUNG H S A lgorithms for non-negative matrix factorization,C.//Proc of Neural Information Processing Systems: 556-562,2000.
[10] Liu Y, Zhang H H, Park C, et al. Support vectormachineswith adap tive Lq penalty,J.Comput Statist and Data Anal, 51 (12) : 6380-6394, 2007.
http://dx.doi.org/10.1016/j.csda.2007.02.006
Full Text: PDF