Intelligent Image Categorization: Object Categorization with Artmap Neural Networks - Couverture souple

Smolár, Peter; Sinčák, Peter; Virčíková, Mária

 
9783659247958: Intelligent Image Categorization: Object Categorization with Artmap Neural Networks
Couverture souple
ISBN 10 : 3659247952 ISBN 13 : 9783659247958
Editeur : LAP LAMBERT Academic Publishing, 2012

Synopsis

Algorithms for object categorization have demonstrated great achievements in learning, processing and comparing objects. The problem occurs if the database of solved objects is too large and the classification time is being increased proportionally. We present a solution by optimalization of obtained knowledge from learning, using the clustering of a modified neural network. Several methods for modifying a number of clusters to increase the speed or the accuracy of classification are shown. Additionally, the proposed algorithm is able to compute the similarity between clusters of various classes and then create statements about the homogeneity, independence, inferiority and similarity of classes. A series of experiments is shown, some of them also as a part of the multi-agent system, Nao robots and gestures and emotions. The analysis could be useful for students and researchers of the computational intelligence or anyone else who may be considering utlizing neural networks for the object categorization and analysis of obtained knowledge from images or from a video stream.

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

Présentation de l'éditeur

Algorithms for object categorization have demonstrated great achievements in learning, processing and comparing objects. The problem occurs if the database of solved objects is too large and the classification time is being increased proportionally. We present a solution by optimalization of obtained knowledge from learning, using the clustering of a modified neural network. Several methods for modifying a number of clusters to increase the speed or the accuracy of classification are shown. Additionally, the proposed algorithm is able to compute the similarity between clusters of various classes and then create statements about the homogeneity, independence, inferiority and similarity of classes. A series of experiments is shown, some of them also as a part of the multi-agent system, Nao robots and gestures and emotions. The analysis could be useful for students and researchers of the computational intelligence or anyone else who may be considering utlizing neural networks for the object categorization and analysis of obtained knowledge from images or from a video stream.

Biographie de l'auteur

Peter Smolár,PhD: studied branch of Artificial Intelligence at the Technical University of Kosice, Faculty of Electrical Engineering and Informatics, Department of Cybernetics and Artificial Intelligence.His research includes computational intelligence, particularly neural networks and fuzzy systems, humanoid robotics and object recognition.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
LAP LAMBERT Academic Publishing
Date d'édition
2012
Langue
anglais
ISBN 10 
3659247952
ISBN 13 
9783659247958
Reliure
Broché
Nombre de pages
188
Coordonnées du fabricant
non disponible
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