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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
JMLR
2006
175views more  JMLR 2006»
13 years 7 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
12 years 11 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...
JMLR
2012
11 years 10 months 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»
13 years 5 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