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IPM
2006
151views more  IPM 2006»
13 years 7 months ago
Document clustering using nonnegative matrix factorization
A methodology for automatically identifying and clustering semantic features or topics in a heterogeneous text collection is presented. Textual data is encoded using a low rank no...
Farial Shahnaz, Michael W. Berry, V. Paul Pauca, R...
ICIP
2009
IEEE
14 years 8 months ago
Facial Expression Recognition Based On Graph-preserving Sparse Non-negative Matrix Factorization
In this paper, we present a novel algorithm for representing facial expressions. The algorithm is based on the non-negative matrix factorization (NMF) algorithm, which decomposes ...
CVPR
2009
IEEE
13 years 11 months ago
Nonnegative Matrix Factorization with Earth Mover's Distance metric
Nonnegative Matrix Factorization (NMF) approximates a given data matrix as a product of two low rank nonnegative matrices, usually by minimizing the L2 or the KL distance between ...
Roman Sandler, Michael Lindenbaum
GRC
2010
IEEE
13 years 8 months ago
Optimal Factorization of Three-Way Binary Data
We present a problem of factor analysis of three-way binary data, i.e. data described by a 3-dimensional binary matrix I, describing a relationship between objects, attributes, an...
Radim Belohlávek, Vilém Vychodil
IJON
2008
92views more  IJON 2008»
13 years 7 months ago
Nonnegative matrix factorization with quadratic programming
Nonnegative Matrix Factorization (NMF) solves the following problem: find such nonnegative matrices A RI
Rafal Zdunek, Andrzej Cichocki