Computational Intelligence Paradigms in Advanced Pattern Classification
Author:   Marek R. Ogiela ,  Lakhmi C Jain
Publisher:   Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Edition:   Softcover reprint of the original 1st ed. 2012
Volume:   386
ISBN:  

9783662507100


Pages:   199
Publication Date:   23 August 2016
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
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Computational Intelligence Paradigms in Advanced Pattern Classification


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Overview

This monograph presents selected areas of application of pattern recognition and classification approaches including handwriting recognition, medical image analysis and interpretation, development of cognitive systems for image computer understanding, moving object detection, advanced image filtration and intelligent multi-object labelling and classification. It is directed to the scientists, application engineers, professors, professors and students will find this book useful.

Full Product Details

Author:   Marek R. Ogiela ,  Lakhmi C Jain
Publisher:   Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Imprint:   Springer-Verlag Berlin and Heidelberg GmbH & Co. K
Edition:   Softcover reprint of the original 1st ed. 2012
Volume:   386
Dimensions:   Width: 15.50cm , Height: 1.10cm , Length: 23.50cm
Weight:   0.454kg
ISBN:  

9783662507100


ISBN 10:   3662507102
Pages:   199
Publication Date:   23 August 2016
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

Recent Advances in Pattern Classification.- Neural Networks for Handwriting Recognition.- Moving object detection from mobile platforms using stereo data registration.- Pattern Classifications in Cognitive Informatics.- Optimal Differential Filter on Hexagonal Lattice.- Graph image language techniques supporting advanced classification and cognitive interpretation of CT coronary vessel visualizations.- A graph matching approach to symmetry detection and analysis.- Pattern classification methods for analysis and visualization of brain perfusion CT maps.- Inference of co-occurring classes: Multi-class and multi-label classification.

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