Machine Learning and Image Interpretation (Advances in Computer Vision and Machine Intelligence)

Caelli, Terry; Bischof, Walter F.

ISBN 10: 1489918183 ISBN 13: 9781489918185
Published by Springer, 2013
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In this groundbreaking new volume, computer researchers discuss the development of technologies and specific systems that can interpret data with respect to domain knowledge. Although the chapters each illuminate different aspects of image interpretation, all utilize a common approach - one that asserts such interpretation must involve perceptual learning in terms of automated knowledge acquisition and application, as well as feedback and consistency checks between encoding, feature extraction, and the known knowledge structures in a given application domain. The text is profusely illustrated with numerous figures and tables to reinforce the concepts discussed.

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Title: Machine Learning and Image Interpretation (...
Publisher: Springer
Publication Date: 2013
Binding: Soft cover
Condition: New

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Terry Caelli|Walter F. Bischof
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ISBN 10: 1489918183 ISBN 13: 9781489918185
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. In this groundbreaking new volume, computer researchers discuss the development of technologies and specific systems that can interpret data with respect to domain knowledge. Although the chapters each illuminate different aspects of image interpretation. Seller Inventory # 4211795

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Taschenbuch. Condition: Neu. Machine Learning and Image Interpretation | Terry Caelli (u. a.) | Taschenbuch | xxiv | Englisch | 2013 | Springer | EAN 9781489918185 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu. Seller Inventory # 105580587

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Caelli, Terry; Bischof, Walter F.
Published by Springer, 2013
ISBN 10: 1489918183 ISBN 13: 9781489918185
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Published by Springer US Jun 2013, 2013
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -In this groundbreaking new volume, computer researchers discuss the development of technologies and specific systems that can interpret data with respect to domain knowledge. Although the chapters each illuminate different aspects of image interpretation, all utilize a common approach - one that asserts such interpretation must involve perceptual learning in terms of automated knowledge acquisition and application, as well as feedback and consistency checks between encoding, feature extraction, and the known knowledge structures in a given application domain. The text is profusely illustrated with numerous figures and tables to reinforce the concepts discussed. 448 pp. Englisch. Seller Inventory # 9781489918185

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Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -In this groundbreaking new volume, computer researchers discuss the development of technologies and specific systems that can interpret data with respect to domain knowledge. Although the chapters each illuminate different aspects of image interpretation, all utilize a common approach - one that asserts such interpretation must involve perceptual learning in terms of automated knowledge acquisition and application, as well as feedback and consistency checks between encoding, feature extraction, and the known knowledge structures in a given application domain. The text is profusely illustrated with numerous figures and tables to reinforce the concepts discussed.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 448 pp. Englisch. Seller Inventory # 9781489918185

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Published by Springer US, 2013
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Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - In this groundbreaking new volume, computer researchers discuss the development of technologies and specific systems that can interpret data with respect to domain knowledge. Although the chapters each illuminate different aspects of image interpretation, all utilize a common approach - one that asserts such interpretation must involve perceptual learning in terms of automated knowledge acquisition and application, as well as feedback and consistency checks between encoding, feature extraction, and the known knowledge structures in a given application domain. The text is profusely illustrated with numerous figures and tables to reinforce the concepts discussed. Seller Inventory # 9781489918185

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