24 search results - page 1 / 5 » Bayesian Inference for Nonnegative Matrix Factor Deconvoluti... |
ICPR
2010
IEEE
13 years 11 months ago
2010
IEEE
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...
IDA
2009
Springer
13 years 11 months ago
2009
Springer
Abstract. We present a Bayesian treatment of non-negative matrix factorization (NMF), based on a normal likelihood and exponential priors, and derive an efficient Gibbs sampler to ...
ICML
2010
IEEE
13 years 5 months ago
2010
IEEE
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 ...
TASLP
2010
12 years 11 months ago
2010
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...
ICASSP
2011
IEEE
12 years 8 months ago
2011
IEEE
We propose an unsupervised inference procedure for audio source separation. Components in nonnegative matrix factorization (NMF) are grouped automatically in audio sources via a p...