Belief Propagation for Error Correcting Codes and Lossy Compression Using Multilayer Perceptrons
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概要
- 論文の詳細を見る
The belief propagation (BP) based algorithm is investigated as a potential decoder for both of error correcting codes and lossy compression, which are based on non-monotonic tree-like multilayer perceptron encoders. We discuss that whether the BP can give practical algorithms or not in these schemes. The BP implementations in those kind of fully connected networks unfortunately shows strong limitation, while the theoretical results seems a bit promising. Instead, it reveals it might have a rich and complex structure of the solution space via the BP-based algorithms.
- Physical Society of Japanの論文
- 2011-03-15
著者
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Mimura Kazushi
Graduate School Of Information Sciences Hiroshima City University
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Okada Masato
Division Of Protein Metabolism Institute For Protein Research Osaka University
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Cousseau Florent
Division of Transdisciplinary Sciences, Graduate School of Frontier Sciences, The University of Tokyo, 5-1-5 Kashiwanoha, Kashiwa, Chiba 277-8561, Japan
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Mimura Kazushi
Graduate School of Information Sciences, Hiroshima City University, 3-4-1 Ohtsuka-Higashi, Asaminami-ku, Hiroshima 731-3194, Japan
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Okada Masato
Division of Allergy and Rheumatology, St. Luke's International Hospital, Japan
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