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» Nonnegative matrix factorization with quadratic programming
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IJON
2008
92views more  IJON 2008»
14 years 10 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
87
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JMLR
2006
175views more  JMLR 2006»
14 years 10 months ago
Learning Sparse Representations by Non-Negative Matrix Factorization and Sequential Cone Programming
We exploit the biconvex nature of the Euclidean non-negative matrix factorization (NMF) optimization problem to derive optimization schemes based on sequential quadratic and secon...
Matthias Heiler, Christoph Schnörr
ICASSP
2011
IEEE
14 years 2 months ago
Novel hierarchical ALS algorithm for nonnegative tensor factorization
The multiplicative algorithms are well-known for nonnegative matrix and tensor factorizations. The ALS algorithm for canonical decomposition (CP) has been proved as a “workhorse...
Anh Huy Phan, Andrzej Cichocki, Kiyotoshi Matsuoka...
100
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JMLR
2012
13 years 21 days ago
NIMFA: A Python Library for Nonnegative Matrix Factorization
NIMFA is an open-source Python library that provides a unified interface to nonnegative matrix factorization algorithms. It includes implementations of state-of-the-art factoriza...
Marinka Zitnik, Blaz Zupan
ICDM
2009
IEEE
131views Data Mining» more  ICDM 2009»
14 years 8 months ago
Unified Solution to Nonnegative Data Factorization Problems
In this paper, we restudy the non-convex data factorization problems (regularized or not, unsupervised or supervised), where the optimization is confined in the nonnegative orthan...
Xiaobai Liu, Shuicheng Yan, Jun Yan, Hai Jin