Active Learning for Image Recognition and Retrieval: Incremental Nonparametric Discriminant Analysis based Active Learning inspired by Cognitive Psychology - Couverture souple

Dhoble, Kshitij

9783845406985: Active Learning for Image Recognition and Retrieval: Incremental Nonparametric Discriminant Analysis based Active Learning inspired by Cognitive Psychology

Couverture souple

ISBN 10 : 3845406984 ISBN 13 : 9783845406985

Editeur : LAP Lambert Academic Publishing, 2012

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Learning is one such innate general cognitive ability which has empowered the living animate entities and especially humans with intelligence. It is obtained by acquiring new knowledge and skills that enable them to adapt and survive. With the advancement of technology, a large amount of information gets amassed. Due to the sheer volume of increasing information, its analysis is humanly unfeasible and impractical. Therefore, for the analysis of massive data we need machines (such as computers) with the ability to learn and evolve in order to discover new knowledge from the analysed data. The majority of the traditional machine learning algorithms function optimally on a parametric (static) data. However, the datasets acquired in real practices are often vast, inaccurate, inconsistent, non-parametric and highly volatile. Therefore, the learning algorithms’ optimized performance can only be transitory, thus requiring a learning algorithm that can constantly evolve and adapt according to the data it processes. In light of a need for such machine learning algorithm, we look for the inspiration in humans’ innate cognitive learning ability. Active learning is one such approach.

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� propos de l?auteur

He has received his MCIS (Hons) degree in Computer and Information Sciences from Auckland University of Technology. He is currently a Ph.D. student. His research interests are in the areas of nature inspired neural network models, image/video processing and data mining techniques.

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�diteur: LAP Lambert Academic Publishing
Date d'�dition: 2012
Langue: anglais
ISBN 10: 3845406984
ISBN 13: 9783845406985
Reliure: Broch�
Nombre de pages: 128
Coordonn�es du fabricant: non disponible
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Active Learning for Image Recognition and Retrieval

Kshitij Dhoble

Edit� par LAP LAMBERT Academic Publishing Jul 2011, 2011

ISBN 10 : 3845406984 ISBN 13 : 9783845406985

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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Learning is one such innate general cognitive ability which has empowered the living animate entities and especially humans with intelligence. It is obtained by acquiring new knowledge and skills that enable them to adapt and survive. With the advancement of technology, a large amount of information gets amassed. Due to the sheer volume of increasing information, its analysis is humanly unfeasible and impractical. Therefore, for the analysis of massive data we need machines (such as computers) with the ability to learn and evolve in order to discover new knowledge from the analysed data. The majority of the traditional machine learning algorithms function optimally on a parametric (static) data. However, the datasets acquired in real practices are often vast, inaccurate, inconsistent, non-parametric and highly volatile. Therefore, the learning algorithms optimized performance can only be transitory, thus requiring a learning algorithm that can constantly evolve and adapt according to the data it processes. In light of a need for such machine learning algorithm, we look for the inspiration in humans innate cognitive learning ability. Active learning is one such approach. 128 pp. Englisch. N� de r�f. du vendeur 9783845406985

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Active Learning for Image Recognition and Retrieval

Kshitij Dhoble

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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Dhoble KshitijHe has received his MCIS (Hons) degree in Computer and Information Sciences from Auckland University of Technology. He is currently a Ph.D. student. His research interests are in the areas of nature inspired neural netw. N� de r�f. du vendeur 5480816

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Active Learning for Image Recognition and Retrieval

Kshitij Dhoble

Edit� par LAP LAMBERT Academic Publishing Jul 2011, 2011

ISBN 10 : 3845406984 ISBN 13 : 9783845406985

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Taschenbuch. Etat : Neu. Neuware -Learning is one such innate general cognitive ability which has empowered the living animate entities and especially humans with intelligence. It is obtained by acquiring new knowledge and skills that enable them to adapt and survive. With the advancement of technology, a large amount of information gets amassed. Due to the sheer volume of increasing information, its analysis is humanly unfeasible and impractical. Therefore, for the analysis of massive data we need machines (such as computers) with the ability to learn and evolve in order to discover new knowledge from the analysed data. The majority of the traditional machine learning algorithms function optimally on a parametric (static) data. However, the datasets acquired in real practices are often vast, inaccurate, inconsistent, non-parametric and highly volatile. Therefore, the learning algorithms� optimized performance can only be transitory, thus requiring a learning algorithm that can constantly evolve and adapt according to the data it processes. In light of a need for such machine learning algorithm, we look for the inspiration in humans� innate cognitive learning ability. Active learning is one such approach.Books on Demand GmbH, �berseering 33, 22297 Hamburg 128 pp. Englisch. N� de r�f. du vendeur 9783845406985

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Active Learning for Image Recognition and Retrieval : Incremental Nonparametric Discriminant Analysis based Active Learning inspired by Cognitive Psychology

Kshitij Dhoble

Edit� par LAP LAMBERT Academic Publishing, 2012

ISBN 10 : 3845406984 ISBN 13 : 9783845406985

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Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Learning is one such innate general cognitive ability which has empowered the living animate entities and especially humans with intelligence. It is obtained by acquiring new knowledge and skills that enable them to adapt and survive. With the advancement of technology, a large amount of information gets amassed. Due to the sheer volume of increasing information, its analysis is humanly unfeasible and impractical. Therefore, for the analysis of massive data we need machines (such as computers) with the ability to learn and evolve in order to discover new knowledge from the analysed data. The majority of the traditional machine learning algorithms function optimally on a parametric (static) data. However, the datasets acquired in real practices are often vast, inaccurate, inconsistent, non-parametric and highly volatile. Therefore, the learning algorithms optimized performance can only be transitory, thus requiring a learning algorithm that can constantly evolve and adapt according to the data it processes. In light of a need for such machine learning algorithm, we look for the inspiration in humans innate cognitive learning ability. Active learning is one such approach. N� de r�f. du vendeur 9783845406985

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