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

著者: Petia Georgieva
出版商: Heidelberg : Springer, 2013.
丛书: Studies in computational intelligence, 410
版本/格式:   Print book : 英语查看所有的版本和格式
数据库: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  再读一些...

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类型/形式: Aufsatzsammlung
材料类型: 互联网资源
文件类型: 书, 互联网资源
所有的著者/提供者: Petia Georgieva
ISBN: 9783642286957 364228695X
OCLC号码: 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.
丛书名: Studies in computational intelligence, 410
责任: 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 再读一些...

 
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