Presentation 1997/2/7
A Hierarchical Bayes Framework for Deconvolution Problems
E. OKADA, A. MATSUI, T. MATSUMOTO,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) A class of deconvolution problems with positivity constraints is formulated in terms of a hierarchical Bayes framework. The proposed algorithm is applied to a real world problem.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Deconvolution / Positivity / Bayesian Inference
Paper # NLP96-148,NC96-102
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Committee NC
Conference Date 1997/2/7(1days)
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Registration To Neurocomputing (NC)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) A Hierarchical Bayes Framework for Deconvolution Problems
Sub Title (in English)
Keyword(1) Deconvolution
Keyword(2) Positivity
Keyword(3) Bayesian Inference
1st Author's Name E. OKADA
1st Author's Affiliation Department of Electrical, Electronics and Computer Engineering, Waseda University()
2nd Author's Name A. MATSUI
2nd Author's Affiliation Department of Electrical, Electronics and Computer Engineering, Waseda University
3rd Author's Name T. MATSUMOTO
3rd Author's Affiliation Department of Electrical, Electronics and Computer Engineering, Waseda University
Date 1997/2/7
Paper # NLP96-148,NC96-102
Volume (vol) vol.96
Number (no) 512
Page pp.pp.-
#Pages 8
Date of Issue