Advances in Intelligent Signal Processing and Data Mining Theory and Applications /

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 Carl...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor Corporativo: SpringerLink (Online service)
Otros Autores: Georgieva, Petia (Editor ), Mihaylova, Lyudmila (Editor ), Jain, Lakhmi C. (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2013.
Edición:1st ed. 2013.
Colección:Studies in Computational Intelligence, 410
Temas:
Engineering.
Artificial intelligence.
Technology and Engineering.
Artificial Intelligence.
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • 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.

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