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Advances in Intelligent Signal Processing and Data Mining

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Cover of 'Advances in Intelligent Signal Processing and Data Mining'

Table of Contents

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    Book Overview
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    Chapter 1 Introduction to Intelligent Signal Processing and Data Mining
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    Chapter 2 Monte Carlo-Based Bayesian Group Object Tracking and Causal Reasoning
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    Chapter 3 A Sequential Monte Carlo Method for Multi-target Tracking with the Intensity Filter
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    Chapter 4 Sequential Monte Carlo Methods for Localization in Wireless Networks
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    Chapter 5 Advances in Intelligent Signal Processing and Data Mining
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    Chapter 6 Computational Intelligence in Automotive Applications
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    Chapter 7 Detecting Anomalies in Sensor Signals Using Database Technology
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    Chapter 8 Hierarchical Clustering for Large Data Sets
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    Chapter 9 A Novel Framework for Object Recognition under Severe Occlusion
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    Chapter 10 Historical Consistent Neural Networks: New Perspectives on Market Modeling, Forecasting and Risk Analysis
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    Chapter 11 Reinforcement Learning with Neural Networks: Tricks of the Trade
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    Chapter 12 Sliding Empirical Mode Decomposition-Brain Status Data Analysis and Modeling
Attention for Chapter 3: A Sequential Monte Carlo Method for Multi-target Tracking with the Intensity Filter
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