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» On Constrained Sparse Matrix Factorization
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PR
2008
97views more  PR 2008»
14 years 9 months ago
SVD based initialization: A head start for nonnegative matrix factorization
We describe Nonnegative Double Singular Value Decomposition (NNDSVD), a new method designed to enhance the initialization stage of nonnegative matrix factorization (NMF). NNDSVD c...
Christos Boutsidis, Efstratios Gallopoulos
ICPR
2010
IEEE
15 years 4 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
ICASSP
2008
IEEE
15 years 4 months ago
Harmonic and inharmonic Nonnegative Matrix Factorization for Polyphonic Pitch transcription
Polyphonic pitch transcription consists of estimating the onset time, duration and pitch of each note in a music signal. This task is difficult in general, due to the wide range ...
Emmanuel Vincent, Nancy Bertin, Roland Badeau
ALGORITHMICA
1999
123views more  ALGORITHMICA 1999»
14 years 9 months ago
Distributed Matrix-Free Solution of Large Sparse Linear Systems over Finite Fields
We describe a coarse-grain parallel software system for the homogeneous solution of linear systems. Our solutions are symbolic, i.e., exact rather than numerical approximations. O...
Erich Kaltofen, A. Lobo
AAAI
2010
14 years 11 months ago
Bayesian Matrix Factorization with Side Information and Dirichlet Process Mixtures
Matrix factorization is a fundamental technique in machine learning that is applicable to collaborative filtering, information retrieval and many other areas. In collaborative fil...
Ian Porteous, Arthur Asuncion, Max Welling