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» Multiple kernel nonnegative matrix factorization
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ICDM
2009
IEEE
131views Data Mining» more  ICDM 2009»
13 years 6 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
BMCBI
2008
138views more  BMCBI 2008»
13 years 8 months ago
Application of nonnegative matrix factorization to improve profile-profile alignment features for fold recognition and remote ho
Background: Nonnegative matrix factorization (NMF) is a feature extraction method that has the property of intuitive part-based representation of the original features. This uniqu...
Inkyung Jung, Jaehyung Lee, Soo-Young Lee, Dongsup...
BMCBI
2006
166views more  BMCBI 2006»
13 years 8 months ago
bioNMF: a versatile tool for non-negative matrix factorization in biology
Background: In the Bioinformatics field, a great deal of interest has been given to Non-negative matrix factorization technique (NMF), due to its capability of providing new insig...
Alberto D. Pascual-Montano, Pedro Carmona-Saez, Mo...
ICONIP
2007
13 years 10 months ago
Sparse Super Symmetric Tensor Factorization
In the paper we derive and discuss a wide class of algorithms for 3D Super-symmetric nonnegative Tensor Factorization (SNTF) or nonnegative symmetric PARAFAC, and as a special case...
Andrzej Cichocki, Marko Jankovic, Rafal Zdunek, Sh...
ICASSP
2008
IEEE
14 years 3 months ago
Nonnegative Tucker decomposition with alpha-divergence
Nonnegative Tucker decomposition (NTD) is a recent multiway extension of nonnegative matrix factorization (NMF), where nonnegativity constraints are incorporated into Tucker model...
Yong-Deok Kim, Andrzej Cichocki, Seungjin Choi