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Computational Intelligence Paradigms in Advanced Pattern Classification

Overview of attention for book
Cover of 'Computational Intelligence Paradigms in Advanced Pattern Classification'

Table of Contents

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    Book Overview
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    Chapter 1 Computational Intelligence Paradigms in Advanced Pattern Classification
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    Chapter 2 Neural Networks for Handwriting Recognition
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    Chapter 3 Moving Object Detection from Mobile Platforms Using Stereo Data Registration
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    Chapter 4 Pattern Classifications in Cognitive Informatics
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    Chapter 5 Optimal Differential Filter on Hexagonal Lattice
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    Chapter 6 Graph Image Language Techniques Supporting Advanced Classification and Cognitive Interpretation of CT Coronary Vessel Visualizations
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    Chapter 7 A Graph Matching Approach to Symmetry Detection and Analysis
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    Chapter 8 Pattern Classification Methods for Analysis and Visualization of Brain Perfusion CT Maps
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    Chapter 9 Inference of Co-occurring Classes: Multi-class and Multi-label Classification
Attention for Chapter 4: Pattern Classifications in Cognitive Informatics
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3 Mendeley
Summary
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Chapter title
Pattern Classifications in Cognitive Informatics
Chapter number 4
Book title
Computational Intelligence Paradigms in Advanced Pattern Classification
Published by
Springer, Berlin, Heidelberg, January 2012
DOI 10.1007/978-3-642-24049-2_4
Book ISBNs
978-3-64-224048-5, 978-3-64-224049-2
Authors

Lidia Ogiela, Ogiela, Lidia

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 3 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 67%
Student > Postgraduate 1 33%
Readers by discipline Count As %
Computer Science 2 67%
Engineering 1 33%

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