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ICA
2007
Springer
13 years 8 months ago
Infinite Sparse Factor Analysis and Infinite Independent Components Analysis
Abstract. A nonparametric Bayesian extension of Independent Components Analysis (ICA) is proposed where observed data Y is modelled as a linear superposition, G, of a potentially i...
David Knowles, Zoubin Ghahramani
AAAI
2008
13 years 6 months ago
Multi-HDP: A Non Parametric Bayesian Model for Tensor Factorization
Matrix factorization algorithms are frequently used in the machine learning community to find low dimensional representations of data. We introduce a novel generative Bayesian pro...
Ian Porteous, Evgeniy Bart, Max Welling
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
LWA
2004
13 years 6 months ago
Dirichlet Enhanced Latent Semantic Analysis
This paper describes nonparametric Bayesian treatments for analyzing records containing occurrences of items. The introduced model retains the strength of previous approaches that...
Kai Yu, Shipeng Yu, Volker Tresp
ISMIR
2005
Springer
215views Music» more  ISMIR 2005»
13 years 10 months ago
Separation of Vocals from Polyphonic Audio Recordings
Source separation techniques like independent component analysis and the more recent non-negative matrix factorization are gaining widespread use for the monaural separation of in...
Shankar Vembu, Stephan Baumann