Sciweavers

764 search results - page 28 / 153
» Maximum-Margin Matrix Factorization
Sort
View
BMCBI
2006
119views more  BMCBI 2006»
15 years 4 months ago
LS-NMF: A modified non-negative matrix factorization algorithm utilizing uncertainty estimates
Background: Non-negative matrix factorisation (NMF), a machine learning algorithm, has been applied to the analysis of microarray data. A key feature of NMF is the ability to iden...
Guoli Wang, Andrew V. Kossenkov, Michael F. Ochs
MOC
2000
65views more  MOC 2000»
15 years 3 months ago
Almost periodic factorization of certain block triangular matrix functions
Let G(x) = eixIm 0 c-1e-ix + c0 + c1eix e-ixIm , where cj Cm
Ilya M. Spitkovsky, Darryl Yong
128
Voted
ICPR
2010
IEEE
15 years 11 months ago
Bayesian Inference for Nonnegative Matrix Factor Deconvolution Models
In this paper we develop a probabilistic interpretation and a full Bayesian inference for non-negative matrix deconvolution (NMFD) model. Our ultimate goal is unsupervised extract...
Serap Kirbiz, Ali Taylan Cemgil, Bilge Gunsel
150
Voted
ICASSP
2008
IEEE
15 years 10 months ago
Fast speaker adaptation using non-negative matrix factorization
This paper describes a new method for fast speaker adaptation in large vocabulary recognition systems. As in most HMM-based recognizers, the observation densities are modeled as a...
Jacques Duchateau, Tobias Leroy, Kris Demuynck, Hu...
ICDM
2008
IEEE
115views Data Mining» more  ICDM 2008»
15 years 10 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