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Computational Intelligence Paradigms in Advanced Pattern Classification: Studies in Computational Intelligence, cartea 386

Editat de Marek R. Ogiela, Lakhmi C Jain
en Limba Engleză Paperback – 23 aug 2016
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.
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Specificații

ISBN-13: 9783662507100
ISBN-10: 3662507102
Pagini: 212
Ilustrații: XI, 199 p.
Dimensiuni: 155 x 235 x 12 mm
Greutate: 0.33 kg
Ediția:Softcover reprint of the original 1st edition 2012
Editura: Springer
Colecția Studies in Computational Intelligence
Seria Studies in Computational Intelligence

Locul publicării:Berlin, Heidelberg, Germany

Cuprins

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.

Caracteristici

Presents theoretical foundations as well as recent advances in pattern classification using computational intelligence paradigms Includes a number of useful practical case studies Written by leading experts in the field

Descriere

Descriere de la o altă ediție sau format:
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.