Der Artikel ist weiterhin als ^^OTHERCONDITION^^ verfügbar.
Autor: Petia Georgieva
ISBN-13: 9783642439803
Einband: Previously published in hardcover
Seiten: 354
Gewicht: 563 g
Format: 235x158x21 mm
Sprache: Englisch

Advances in Intelligent Signal Processing and Data Mining

Vol.410, Studies in Computational Intelligence
Theory and Applications
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 extraction of targeted data and the discovery of hidden patterns.
99
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.
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.
Autor: Petia Georgieva
ISBN-13:: 9783642439803
ISBN: 3642439802
Verlag: Springer, Berlin
Gewicht: 563g
Seiten: 354
Sprache: Englisch
Sonstiges: Taschenbuch, 235x158x21 mm