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

Auteur : Petia Georgieva; Lyudmila Mihaylova; L C Jain
Éditeur : Berlin ; New York : Springer, ©2013.
Collection : Studies in computational intelligence, 410.
Édition/format :   Livre électronique : Document : AnglaisVoir toutes les éditions et les formats
Base de données :WorldCat
Résumé :
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  Lire la suite...
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Détails

Genre/forme : Electronic books
Type d’ouvrage : Document, Ressource Internet
Format : Ressource Internet, Fichier informatique
Tous les auteurs / collaborateurs : Petia Georgieva; Lyudmila Mihaylova; L C Jain
ISBN : 9783642286964 3642286968 364228695X 9783642286957
Numéro OCLC : 805127658
Description : 1 online resource.
Contenu : Introduction to Intelligent Signal Processing and Data Mining / Lyudmila Mihaylova, Petia Georgieva and Lakhmi C. Jain --
Monte Carlo-Based Bayesian Group Object Tracking and Causal Reasoning / Avishy Y. Carmi, Lyudmila Mihaylova, Amadou Gning, Pini Gurfil and Simon J. Godsill --
A Sequential Monte Carlo Method for Multi-target Tracking with the Intensity Filter / Marek Schikora, Wolfgang Koch, Roy Streit and Daniel Cremers --
Sequential Monte Carlo Methods for Localization in Wireless Networks / Lyudmila Mihaylova, Donka Angelova and Anna Zvikhachevskaya --
A Sequential Monte Carlo Approach for Brain Source Localization / Petia Georgieva, Lyudmila Mihaylova, Filipe Silva, Mariofanna Milanova and Nuno Figueiredo, et al. --
Computational Intelligence in Automotive Applications / Yifei Wang, Naim Dahnoun and Alin Achim --
Detecting Anomalies in Sensor Signals Using Database Technology / Gereon Schüller, Andreas Behrend and Wolfgang Koch --
Hierarchical Clustering for Large Data Sets / Mark J. Embrechts, Christopher J. Gatti, Jonathan Linton and Badrinath Roysam --
A Novel Framework for Object Recognition under Severe Occlusion / Stamatia Giannarou and Tania Stathaki --
Historical Consistent Neural Networks: New Perspectives on Market Modeling, Forecasting and Risk Analysis / Hans-Georg Zimmermann, Christoph Tietz and Ralph Grothmann --
Reinforcement Learning with Neural Networks: Tricks of the Trade / Christopher J. Gatti and Mark J. Embrechts --
Sliding Empirical Mode Decomposition-Brain Status Data Analysis and Modeling / A. Zeiler, R. Faltermeier, A. M. Tomé, I. R. Keck and C. Puntonet, et al.
Titre de collection : Studies in computational intelligence, 410.
Responsabilité : Petia Georgieva, Lyudmila Mihaylova, and Lakhmi C. Jain (eds.).
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Résumé :

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  Lire la suite...

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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 Lire la suite...

 
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