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

• Corporate Author: SpringerLink (Online service)
• Other Authors: Georgieva, Petia. (Editor), Mihaylova, Lyudmila. (Editor), Jain, Lakhmi C. (Editor)
• Format: Electronic
• Language: English
• Published: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2013.
• Series: Studies in Computational Intelligence, 410
• Subjects: Engineering.; Artificial intelligence.; Engineering, general.; Artificial Intelligence (incl. Robotics).
• Online Access: https://ezaccess.library.uitm.edu.my/login?url=http://dx.doi.org/10.1007/978-3-642-28696-4

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...

Table of Contents:

• 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.