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» Unified Solution to Nonnegative Data Factorization Problems
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ICDM
2008
IEEE
115views Data Mining» more  ICDM 2008»
15 years 3 months ago
Toward Faster Nonnegative Matrix Factorization: A New Algorithm and Comparisons
Nonnegative Matrix Factorization (NMF) is a dimension reduction method that has been widely used for various tasks including text mining, pattern analysis, clustering, and cancer ...
Jingu Kim, Haesun Park
ICML
2005
IEEE
15 years 10 months ago
Non-negative tensor factorization with applications to statistics and computer vision
We derive algorithms for finding a nonnegative n-dimensional tensor factorization (n-NTF) which includes the non-negative matrix factorization (NMF) as a particular case when n = ...
Amnon Shashua, Tamir Hazan
ICASSP
2011
IEEE
14 years 1 months ago
Computing the nonnegative 3-way tensor factorization using Tikhonov regularization
This paper deals with the minimum polyadic decomposition of a nonnegative three-way array. The main advantage of the nonnegativity constraint is that the approximation problem bec...
Jean-Philip Royer, Pierre Comon, Nadège Thi...
NIPS
2003
14 years 10 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
NLE
2010
112views more  NLE 2010»
14 years 7 months ago
A non-negative tensor factorization model for selectional preference induction
Distributional similarity methods have proven to be a valuable tool for the induction of semantic similarity. Up till now, most algorithms use two-way cooccurrence data to compute...
Tim Van de Cruys