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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
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    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
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Mentioned by

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1 patent

Citations

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54 Dimensions

Readers on

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55 Mendeley
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Title
Signal Processing Techniques for Knowledge Extraction and Information Fusion
Published by
Springer US, March 2008
DOI 10.1007/978-0-387-74367-7
ISBNs
978-0-387-74366-0, 978-0-387-74367-7
Editors

Mandic, Danilo, Golz, Martin, Kuh, Anthony, Obradovic, Dragan, Tanaka, Toshihisa

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 55 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
South Africa 1 2%
Slovakia 1 2%
Belgium 1 2%
United States 1 2%
Poland 1 2%
Unknown 50 91%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 11 20%
Researcher 10 18%
Student > Master 8 15%
Student > Bachelor 4 7%
Professor > Associate Professor 4 7%
Other 11 20%
Unknown 7 13%
Readers by discipline Count As %
Engineering 20 36%
Computer Science 12 22%
Earth and Planetary Sciences 4 7%
Physics and Astronomy 2 4%
Agricultural and Biological Sciences 2 4%
Other 7 13%
Unknown 8 15%