Quantization maximization for learning multiple covariance matrices

碩士 === 國立東華大學 === 應用數學系 === 100 === This work proposes a novel quantization maximization approach for learning mutliple covariance matrices subject to multi-dimensional training data. The number of monitored sources is assumed more than that of sensors. And their statistically dependent relations ar...

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Main Authors: Shen-Hung Lin, 林紳宏
Other Authors: Jiann-Ming Wu
Format: Others
Language:en_US
Published: 2012
Online Access:http://ndltd.ncl.edu.tw/handle/36265701825998577510
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spelling ndltd-TW-100NDHU55070042015-10-14T04:07:03Z http://ndltd.ncl.edu.tw/handle/36265701825998577510 Quantization maximization for learning multiple covariance matrices 量子化與最大化非監督式學習法解共變異矩陣分析問題 Shen-Hung Lin 林紳宏 碩士 國立東華大學 應用數學系 100 This work proposes a novel quantization maximization approach for learning mutliple covariance matrices subject to multi-dimensional training data. The number of monitored sources is assumed more than that of sensors. And their statistically dependent relations are characterized by multiple covariance matrices. The proposed QM approach iteratively executes quantization and maximization steps. Its convergence is proved and its applicability for spike sorting and underdetermined independent component analysis is extensively explored. Jiann-Ming Wu 吳建銘 2012 學位論文 ; thesis 45 en_US
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language en_US
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description 碩士 === 國立東華大學 === 應用數學系 === 100 === This work proposes a novel quantization maximization approach for learning mutliple covariance matrices subject to multi-dimensional training data. The number of monitored sources is assumed more than that of sensors. And their statistically dependent relations are characterized by multiple covariance matrices. The proposed QM approach iteratively executes quantization and maximization steps. Its convergence is proved and its applicability for spike sorting and underdetermined independent component analysis is extensively explored.
author2 Jiann-Ming Wu
author_facet Jiann-Ming Wu
Shen-Hung Lin
林紳宏
author Shen-Hung Lin
林紳宏
spellingShingle Shen-Hung Lin
林紳宏
Quantization maximization for learning multiple covariance matrices
author_sort Shen-Hung Lin
title Quantization maximization for learning multiple covariance matrices
title_short Quantization maximization for learning multiple covariance matrices
title_full Quantization maximization for learning multiple covariance matrices
title_fullStr Quantization maximization for learning multiple covariance matrices
title_full_unstemmed Quantization maximization for learning multiple covariance matrices
title_sort quantization maximization for learning multiple covariance matrices
publishDate 2012
url http://ndltd.ncl.edu.tw/handle/36265701825998577510
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