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» On Constrained Sparse Matrix Factorization
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PR
2008
97views more  PR 2008»
15 years 2 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 9 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 9 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»
15 years 2 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
15 years 3 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