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Advances in intelligent signal processing and data mining : theory and applications

作者: Petia Georgieva
出版商: Heidelberg : Springer, 2013.
叢書: Studies in computational intelligence, 410
版本/格式:   Print book : 英語所有版本和格式的總覽
資料庫:WorldCat
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With contributions from leading experts in the field, this volume presents the most efficient statistical and deterministic methods for information processing and applications that allow the  再讀一些...

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類型/形式: Aufsatzsammlung
資料類型: 網際網路資源
文件類型: 圖書, 網路資源
所有的作者/貢獻者: Petia Georgieva
ISBN: 9783642286957 364228695X
OCLC系統控制編碼: 811762016
注意: Also published electronically.
描述: xiii, 349 p : ill.
内容: From the content: Introduction to Intelligent Signal Processing and Data Mining.- Monte Carlo-Based Bayesian Group Object Tracking and Causal Reasoning.- A Sequential Monte Carlo Method for Multi-Target Tracking with the Intensity Filter.- Sequential Monte Carlo Methods for Localisation inWireless Networks.- A Sequential Monte Carlo Approach for Brain Source Localization.
叢書名: Studies in computational intelligence, 410
責任: Petia Georgieva, Lyudmila Mihaylova, and Lakhmi C. Jain (eds.).
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From the reviews: "This book is well structured and provides good coverage of several state-of-the-art approaches to intelligent signal processing and data mining. ... chapters contain examples and 再讀一些...

 
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