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TASLP
2010
105views more  TASLP 2010»
12 years 11 months ago
Non-Negative Tensor Factorization Applied to Music Genre Classification
Music genre classification techniques are typically applied to the data matrix whose columns are the feature vectors extracted from music recordings. In this paper, a feature vecto...
Emmanouil Benetos, Constantine Kotropoulos
SDM
2009
SIAM
152views Data Mining» more  SDM 2009»
14 years 2 months ago
Non-negative Matrix Factorization, Convexity and Isometry.
In this paper we explore avenues for improving the reliability of dimensionality reduction methods such as Non-Negative Matrix Factorization (NMF) as interpretive exploratory data...
Nikolaos Vasiloglou, Alexander G. Gray, David V. A...
ICASSP
2009
IEEE
13 years 9 months ago
A tempering approach for Itakura-Saito non-negative matrix factorization. With application to music transcription
In this paper we are interested in non-negative matrix factorization (NMF) with the Itakura-Saito (IS) divergence. Previous work has demonstrated the relevance of this cost functi...
Nancy Bertin, Cédric Févotte, Roland...
JMLR
2010
195views more  JMLR 2010»
13 years 3 months ago
Online Learning for Matrix Factorization and Sparse Coding
Sparse coding—that is, modelling data vectors as sparse linear combinations of basis elements—is widely used in machine learning, neuroscience, signal processing, and statisti...
Julien Mairal, Francis Bach, Jean Ponce, Guillermo...
CSDA
2008
128views more  CSDA 2008»
13 years 5 months ago
On the equivalence between Non-negative Matrix Factorization and Probabilistic Latent Semantic Indexing
Non-negative Matrix Factorization (NMF) and Probabilistic Latent Semantic Indexing (PLSI) have been successfully applied to document clustering recently. In this paper, we show th...
Chris H. Q. Ding, Tao Li, Wei Peng