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Signal Processing Techniques for Knowledge Extraction and Information Fusion

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Cover of 'Signal Processing Techniques for Knowledge Extraction and Information Fusion'

Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 1 Collaborative Adaptive Filters for Online Knowledge Extraction and Information Fusion
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    Chapter 2 Wind Modelling and its Possible Application to Control of Wind Farms
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    Chapter 3 Hierarchical Filters in a Collaborative Filtering Framework for System Identification and Knowledge Retrieval
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    Chapter 4 Acoustic Parameter Extraction From Occupied Rooms Utilizing Blind Source Separation
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    Chapter 5 Sensor Network Localization Using Least Squares Kernel Regression
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    Chapter 6 Adaptive Localization in Wireless Networks
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    Chapter 7 Signal Processing Methods for Doppler Radar Heart Rate Monitoring
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    Chapter 8 Multimodal Fusion for Car Navigation Systems
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    Chapter 9 Cue and Sensor Fusion for Independent Moving Objects Detection and Description in Driving Scenes
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    Chapter 10 Distributed Vision Networks for Human Pose Analysis
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    Chapter 11 Skin Color Separation and Synthesis for E-Cosmetics
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    Chapter 12 ICA for Fusion of Brain Imaging Data
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    Chapter 13 Complex Empirical Mode Decomposition for Multichannel Information Fusion
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    Chapter 14 Information Fusion for Perceptual Feedback: A Brain Activity Sonification Approach
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    Chapter 15 Advanced EEG Signal Processing in Brain Death Diagnosis
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    Chapter 16 Automatic Knowledge Extraction: Fusion of Human Expert Ratings and Biosignal Features for Fatigue Monitoring Applications
Attention for Chapter 9: Cue and Sensor Fusion for Independent Moving Objects Detection and Description in Driving Scenes
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Chapter title
Cue and Sensor Fusion for Independent Moving Objects Detection and Description in Driving Scenes
Chapter number 9
Book title
Signal Processing Techniques for Knowledge Extraction and Information Fusion
Published by
Springer, Boston, MA, January 2008
DOI 10.1007/978-0-387-74367-7_9
Book ISBNs
978-0-387-74366-0, 978-0-387-74367-7
Authors

Nikolay Chumerin, Marc M. Van Hulle, Chumerin, Nikolay, Van Hulle, Marc M.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 6%
China 1 6%
Belgium 1 6%
Brazil 1 6%
Unknown 13 76%

Demographic breakdown

Readers by professional status Count As %
Researcher 6 35%
Student > Ph. D. Student 4 24%
Student > Doctoral Student 2 12%
Professor > Associate Professor 2 12%
Student > Bachelor 1 6%
Other 2 12%
Readers by discipline Count As %
Computer Science 8 47%
Engineering 7 41%
Chemistry 1 6%
Environmental Science 1 6%