TY  - BOOK
AU  - Georgieva,Petia
AU  - Mihaylova,Lyudmila
AU  - Jain,Lakhmi C.
ED  - SpringerLink (Online service)
TI  - Advances in Intelligent Signal Processing and Data Mining: Theory and Applications 
T2  - Studies in Computational Intelligence,
SN  - 9783642286964
AV  - TA1-2040 
U1  - 620 23
PY  - 2013///
CY  - Berlin, Heidelberg
PB  - Springer Berlin Heidelberg, Imprint: Springer
KW  - Engineering
KW  - Artificial intelligence
KW  - Engineering, general
KW  - Artificial Intelligence (incl. Robotics)
N1  - 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
N2  - The 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.  
UR  - http://dx.doi.org/10.1007/978-3-642-28696-4
ER  -