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TASLP
2010
157views more  TASLP 2010»
13 years 2 months ago
Multichannel Nonnegative Matrix Factorization in Convolutive Mixtures for Audio Source Separation
Abstract--We consider inference in a general data-driven object-based model of multichannel audio data, assumed generated as a possibly underdetermined convolutive mixture of sourc...
Alexey Ozerov, Cédric Févotte
ICA
2010
Springer
13 years 8 months ago
Non-negative Hidden Markov Modeling of Audio with Application to Source Separation
Abstract. In recent years, there has been a great deal of work in modeling audio using non-negative matrix factorization and its probabilistic counterparts as they yield rich model...
Gautham J. Mysore, Paris Smaragdis, Bhiksha Raj
AMFG
2005
IEEE
314views Biometrics» more  AMFG 2005»
14 years 1 months ago
Two-Dimensional Non-negative Matrix Factorization for Face Representation and Recognition
Non-negative matrix factorization (NMF) is a recently developed method for finding parts-based representation of non-negative data such as face images. Although it has successfully...
Daoqiang Zhang, Songcan Chen, Zhi-Hua Zhou
ICASSP
2010
IEEE
13 years 7 months ago
Multiplicative update rules for nonnegative matrix factorization with co-occurrence constraints
Nonnegative matrix factorization (NMF) is a widely-used tool for obtaining low-rank approximations of nonnegative data such as digital images, audio signals, textual data, financ...
Steven K. Tjoa, K. J. Ray Liu
CORR
2002
Springer
180views Education» more  CORR 2002»
13 years 7 months ago
Non-negative sparse coding
Abstract. Non-negative sparse coding is a method for decomposing multivariate data into non-negative sparse components. In this paper we briefly describe the motivation behind this...
Patrik O. Hoyer