Error-controlling algorithm for simultaneous block-diagonalization and its application to independent component analysis
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概要
- 論文の詳細を見る
The finest simultaneous block-diagonalization for a given set of square matrices has been studied independently in the area of independent component analysis (ICA) and semidefinite programming. A new algorithm for this problem, which finds the finest decomposition with a capability of coping with numerical errors, has recently been proposed by the present authors. In this paper we indicate the use of the algorithm for ICA by describing its main features and comparing the method with the other existing methods.
- The Japan Society for Industrial and Applied Mathematicsの論文
著者
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Murota Kazuo
Department Of Mathematical Engineering And Instrumentation Physics Faculty Of Engineering University
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MAEHARA Takanori
Department of Digital Engineering.
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Murota Kazuo
Department of Mathematical Informatics, Graduate School of Information Science and Technology, The University of Tokyo
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