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» Algorithms for Non-negative Matrix Factorization
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ICML
2010
IEEE
13 years 8 months ago
Bayesian Nonparametric Matrix Factorization for Recorded Music
Recent research in machine learning has focused on breaking audio spectrograms into separate sources of sound using latent variable decompositions. These methods require that the ...
Matthew D. Hoffman, David M. Blei, Perry R. Cook
ICASSP
2011
IEEE
12 years 11 months ago
Gain-robust multi-pitch tracking using sparse nonnegative matrix factorization
While nonnegative matrix factorization (NMF) has successfully been applied for gain-robust multi-pitch detection, a method to track pitch values over time was not provided. We emb...
Robert Peharz, Michael Wohlmayr, Franz Pernkopf
ICDM
2007
IEEE
149views Data Mining» more  ICDM 2007»
14 years 2 months ago
Solving Consensus and Semi-supervised Clustering Problems Using Nonnegative Matrix Factorization
Consensus clustering and semi-supervised clustering are important extensions of the standard clustering paradigm. Consensus clustering (also known as aggregation of clustering) ca...
Tao Li, Chris H. Q. Ding, Michael I. Jordan
SDM
2008
SIAM
168views Data Mining» more  SDM 2008»
13 years 9 months ago
Semi-Supervised Clustering via Matrix Factorization
The recent years have witnessed a surge of interests of semi-supervised clustering methods, which aim to cluster the data set under the guidance of some supervisory information. U...
Fei Wang, Tao Li, Changshui Zhang
NIPS
2004
13 years 9 months ago
Real-Time Pitch Determination of One or More Voices by Nonnegative Matrix Factorization
An auditory "scene", composed of overlapping acoustic sources, can be viewed as a complex object whose constituent parts are the individual sources. Pitch is known to be...
Fei Sha, Lawrence K. Saul