Computational Intelligence Paradigms in Advanced Pattern Classification

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 filtrati...

Celý popis

Uloženo v:
Podrobná bibliografie
Další autoři: Ogiela, Marek R. (Šéfredaktor, odpovědný redaktor), Jain, Lakhmi C., 1946- (Šéfredaktor, odpovědný redaktor)
Médium: Livre numérique
Jazyk:Anglais
Vydáno: Berlin, Heidelberg : Springer Berlin Heidelberg [20..].
Cham : Springer Nature
Vydání:2012.
Edice:Studies in Computational Intelligence 386
On-line přístup:Accès sur la plateforme de l'éditeur
Accès sur la plateforme Istex
Accès Université d'Orléans
Accès INSA CVL
Poznámka: Archives Springer e-books (Licence nationale)
Archives Springer e-books (Licence nationale)
Autres localisations: Voir dans le Sudoc
Edition sous un autre format:• Computational Intelligence Paradigms in Advanced Pattern Classification, Texte imprimé, 9783642240485
• Computational Intelligence Paradigms in Advanced Pattern Classification, Texte imprimé, 9783642240485
• Computational Intelligence Paradigms in Advanced Pattern Classification, Texte imprimé, 9783642240508
• Computational Intelligence Paradigms in Advanced Pattern Classification, Texte imprimé, 9783662507100
Obsah:
  • 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