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ISNN
2007
Springer
14 years 3 months ago
Regularized Alternating Least Squares Algorithms for Non-negative Matrix/Tensor Factorization
Nonnegative Matrix and Tensor Factorization (NMF/NTF) and Sparse Component Analysis (SCA) have already found many potential applications, especially in multi-way Blind Source Separ...
Andrzej Cichocki, Rafal Zdunek
SDM
2008
SIAM
168views Data Mining» more  SDM 2008»
13 years 11 months ago
Semi-Supervised Clustering via Matrix Factorization
The recent years have witnessed a surge of interests of semi-supervised clustering methods, which aim to cluster the data set under the guidance of some supervisory information. U...
Fei Wang, Tao Li, Changshui Zhang
NIPS
2004
13 years 11 months ago
Real-Time Pitch Determination of One or More Voices by Nonnegative Matrix Factorization
An auditory "scene", composed of overlapping acoustic sources, can be viewed as a complex object whose constituent parts are the individual sources. Pitch is known to be...
Fei Sha, Lawrence K. Saul
NIPS
2003
13 years 11 months ago
When Does Non-Negative Matrix Factorization Give a Correct Decomposition into Parts?
We interpret non-negative matrix factorization geometrically, as the problem of finding a simplicial cone which contains a cloud of data points and which is contained in the posi...
David L. Donoho, Victoria Stodden
ICASSP
2011
IEEE
13 years 1 months ago
Stability analysis of multiplicative update algorithms for non-negative matrix factorization
Multiplicative update algorithms have encountered a great success to solve optimization problems with non-negativity constraints, such as the famous non-negative matrix factorizat...
Roland Badeau, Nancy Bertin, Emmanuel Vincent