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ICDM
2009
IEEE
126views Data Mining» more  ICDM 2009»
14 years 5 months ago
Convex Non-negative Matrix Factorization in the Wild
Abstract—Non-negative matrix factorization (NMF) has recently received a lot of attention in data mining, information retrieval, and computer vision. It factorizes a non-negative...
Christian Thurau, Kristian Kersting, Christian Bau...
CVPR
2005
IEEE
15 years 26 days ago
Robust L1 Norm Factorization in the Presence of Outliers and Missing Data by Alternative Convex Programming
Matrix factorization has many applications in computer vision. Singular Value Decomposition (SVD) is the standard algorithm for factorization. When there are outliers and missing ...
Qifa Ke, Takeo Kanade
SDM
2009
SIAM
152views Data Mining» more  SDM 2009»
14 years 8 months ago
Non-negative Matrix Factorization, Convexity and Isometry.
In this paper we explore avenues for improving the reliability of dimensionality reduction methods such as Non-Negative Matrix Factorization (NMF) as interpretive exploratory data...
Nikolaos Vasiloglou, Alexander G. Gray, David V. A...
CORR
2008
Springer
129views Education» more  CORR 2008»
13 years 11 months ago
On the Stretch Factor of Convex Delaunay Graphs
Let C be a compact and convex set in the plane that contains the origin in its interior, and let S be a finite set of points in the plane. The Delaunay graph DGC (S) of S is define...
Prosenjit Bose, Paz Carmi, Sébastien Collet...
CORR
2008
Springer
126views Education» more  CORR 2008»
13 years 11 months ago
Non-Negative Matrix Factorization, Convexity and Isometry
Traditional Non-Negative Matrix Factorization (NMF) [19] is a successful algorithm for decomposing datasets into basis function that have reasonable interpretation. One problem of...
Nikolaos Vasiloglou, Alexander G. Gray, David V. A...