LEADER 03044nam  2200577Ia 450 
001 9910437924203321
005 20200520144314.0
010   $a3-642-28696-8
024 7 $a10.1007/978-3-642-28696-4
035   $a(CKB)3390000000030167
035   $a(SSID)ssj0000745814
035   $a(PQKBManifestationID)11446051
035   $a(PQKBTitleCode)TC0000745814
035   $a(PQKBWorkID)10859470
035   $a(PQKB)10851230
035   $a(DE-He213)978-3-642-28696-4
035   $a(MiAaPQ)EBC3070796
035   $a(PPN)168312573
035   $a(EXLCZ)993390000000030167
100   $a20120807d2013      uy         0
101 0 $aeng
135   $aurnn#008mamaa
181   $ctxt
182   $cc
183   $acr
200 00$aAdvances in intelligent signal processing and data mining $etheory and applications /$fPetia Georgieva, Lyudmila Mihaylova, and Lakhmi C. Jain (eds.)
205   $a1st ed. 2013.
210   $aBerlin ;$aNew York $cSpringer$dc2013
215   $a1 online resource (XIV, 354 p.)
225 1 $aStudies in computational intelligence,$x1860-949X ;$v410
300   $aBibliographic Level Mode of Issuance: Monograph
311   $a3-642-28695-X 
320   $aIncludes bibliographical references and author index.
327   $aFrom 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.
330   $aThe book presents some of the most efficient statistical and deterministic methods for information processing and applications in order to extract targeted information and find hidden patterns. The techniques presented range from Bayesian approaches and their variations such as sequential Monte Carlo methods, Markov Chain Monte Carlo filters, Rao Blackwellization, to the biologically inspired paradigm of Neural Networks and decomposition techniques such as Empirical Mode Decomposition, Independent Component Analysis and Singular Spectrum Analysis.   The book is directed to the research students, professors, researchers and practitioners interested in exploring the advanced techniques in intelligent signal processing and data mining paradigms.  .
410  0$aStudies in computational intelligence ;$vv. 410.
606   $aSignal processing$xDigital techniques$xData processing
606   $aData mining
615  0$aSignal processing$xDigital techniques$xData processing.
615  0$aData mining.
676   $a621.382/2
701   $aGeorgieva$b Petya$01750368
701   $aMihaylova$b Lyudmila$01739305
701   $aJain$b L. C$01601441
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
906   $aBOOK
912   $a9910437924203321
996   $aAdvances in intelligent signal processing and data mining$94184993
997   $aUNINA