Active Learning for Image Recognition and Retrieval: Incremental Nonparametric Discriminant Analysis based Active Learning inspired by Cognitive Psychology - Softcover
Synopsis
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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About the Author
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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Active Learning for Image Recognition and Retrieval
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LAP LAMBERT Academic Publishing Jul 2011, 2011
ISBN 10: 3845406984
ISBN 13: 9783845406985
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Taschenbuch. Condition: 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. Seller Inventory # 9783845406985
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Active Learning for Image Recognition and Retrieval
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LAP LAMBERT Academic Publishing, 2011
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ISBN 13: 9783845406985
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Condition: 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. Seller Inventory # 5480816
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Active Learning for Image Recognition and Retrieval
Published by
LAP LAMBERT Academic Publishing Jul 2011, 2011
ISBN 10: 3845406984
ISBN 13: 9783845406985
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Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
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Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. 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.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 128 pp. Englisch. Seller Inventory # 9783845406985
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Active Learning for Image Recognition and Retrieval : Incremental Nonparametric Discriminant Analysis based Active Learning inspired by Cognitive Psychology
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LAP LAMBERT Academic Publishing, 2012
ISBN 10: 3845406984
ISBN 13: 9783845406985
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Taschenbuch. Condition: 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. Seller Inventory # 9783845406985
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Active Learning for Image Recognition and Retrieval | Incremental Nonparametric Discriminant Analysis based Active Learning inspired by Cognitive Psychology
Published by
LAP LAMBERT Academic Publishing, 2012
ISBN 10: 3845406984
ISBN 13: 9783845406985
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Taschenbuch. Condition: Neu. Active Learning for Image Recognition and Retrieval | Incremental Nonparametric Discriminant Analysis based Active Learning inspired by Cognitive Psychology | Kshitij Dhoble | Taschenbuch | 128 S. | Englisch | 2012 | LAP LAMBERT Academic Publishing | EAN 9783845406985 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu. Seller Inventory # 106642063