Presentation | 2005/3/23 Bayesian noisy ICA for source switching environments Junichiro HIRAYAMA, Shinichi MAEDA, Shin ISHII, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | Most independent component analysis (ICA) algorithms assume that the number of sources is constant for all samples. This assumption does not necessarily hold, however, in the cases where the source signals are non-stationary. Real situations often involve difficult non-stationarity such that each source signal appears or disappears and hence the number of sources varies with time. In the present study, we address such "source switching problems" to construct a robust ICA algorithm that deals with non-stationary signals. We formulate a generative model that incorporates source switching and noisy mixing, and then derive a noisy ICA algorithm based on the Bayesian inference. In a simple simulation, it is shown that our method has a potential to resolve the "source switching problems." |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | independent component analysis / non-stationary signal / variational Bayes / variable selection |
Paper # | NC2004-224 |
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Committee | NC |
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Conference Date | 2005/3/23(1days) |
Place (in Japanese) | (See Japanese page) |
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Registration To | Neurocomputing (NC) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Bayesian noisy ICA for source switching environments |
Sub Title (in English) | |
Keyword(1) | independent component analysis |
Keyword(2) | non-stationary signal |
Keyword(3) | variational Bayes |
Keyword(4) | variable selection |
1st Author's Name | Junichiro HIRAYAMA |
1st Author's Affiliation | Graduate School of Information Science, Nara Institute of Science and Technology() |
2nd Author's Name | Shinichi MAEDA |
2nd Author's Affiliation | Graduate School of Information Science, Nara Institute of Science and Technology |
3rd Author's Name | Shin ISHII |
3rd Author's Affiliation | Graduate School of Information Science, Nara Institute of Science and Technology |
Date | 2005/3/23 |
Paper # | NC2004-224 |
Volume (vol) | vol.104 |
Number (no) | 760 |
Page | pp.pp.- |
#Pages | 5 |
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