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Published by Oxford University Press, 1997
ISBN 10: 0195098706 ISBN 13: 9780195098709
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Language: English
Published by Oxford University Press, 1997
ISBN 10: 0195098706 ISBN 13: 9780195098709
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Language: English
Published by Oxford University Press, 1997
ISBN 10: 0195098706 ISBN 13: 9780195098709
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Condition: very good. New York & Oxford : Oxford University Press, 1997, Hardcover. Viii, 355p : ill ; 27cm. Companion volume to: Early visual learning. Includes bibliographical references and index. - Some of the fundamental constraints of automated machine vision have been the inability to automatically adapt parameter settings or utilize previous adaptations in changing environments. Symbolic Visual Learning presents research which adds visual learning capabilities to computer vision systems. Using this state-of-the-art recognition technology, the outcome is different adaptive recognition systems that can measure their own performance, learn from their experience and outperform conventional static designs. Written as a companion volume to Early Visual Learning (edited by S. Nayar and T. Poggio), this book is intended for researchers and students in machine vision and machine learning. Condition : very good copy. ISBN 9780195098709. Keywords : PSYCHOLOGY,
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Published by Oxford University Press, USA, 1997
ISBN 10: 0195098706 ISBN 13: 9780195098709
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Published by Oxford University Press, 1997
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Published by Oxford University Press, 1997
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Condition: Sehr gut. Zustand: Sehr gut | Seiten: 368 | Sprache: Englisch | Produktart: Bücher | Some of the fundamental constraints of automated machine vision have been the inability automatically to adapt parameter settings or utilize previous adaptations in changing environments. Symbolic Visual Learning, as presented in this book, consists of an area of research that tries to overcome these fundamental constraints, enhancing state-of-the-art recognition systems that can measure their own performance, learn from their experience, and outperform conventional static designs. It was written as a companion volume to Early Visual Learning edited by S. Nayar and T. Poggio.
Language: English
Published by Oxford University Press, 1997
ISBN 10: 0195098706 ISBN 13: 9780195098709
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Language: English
Published by Oxford University Press, 1997
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Published by Oxford University Press Inc, US, 1997
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Add to basketHardback. Condition: New. Some of the fundamental constraints of automated machine vision have been the inability automatically to adapt parameter settings or utilize previous adaptations in changing environments. Symbolic Visual Learning presents research which adds visual learning capabilities to computer vision systems. Using this state-of-the-art recognition technology, the outcome is different adaptive recognition systems that can measure their own performance, learn from their experience and outperform conventional static designs. Written as a companion volume to Early Visual Learning (edited by S. Nayar and T. Poggio), this book is intended for researchers and students in machine vision and machine learning.
Language: English
Published by Oxford University Press, 1997
ISBN 10: 0195098706 ISBN 13: 9780195098709
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Published by Oxford University Press Inc, New York, 1997
ISBN 10: 0195098706 ISBN 13: 9780195098709
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Hardcover. Condition: new. Hardcover. Some of the fundamental constraints of automated machine vision have been the inability to automatically adapt parameter settings or utilize previous adaptations in changing environments. Symbolic Visual Learning presents research which adds visual learning capabilities to computer vision systems. Using this state-of-the-art recognition technology, the outcome is different adaptive recognition systems that can measure their own performance, learn from theirexperience and outperform conventional static designs. Written as a companion volume to Early Visual Learning (edited by S. Nayar and T. Poggio), this book is intended for researchers and students in machinevision and machine learning. Symbolic Visual Learning, as presented in this book, consists of an area of research that tries to overcome fundamental constraints, enhancing recognition systems that can measure their own performance, learn from their experience, and outperform conventional static designs. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Language: English
Published by Oxford University Press Inc, US, 1997
ISBN 10: 0195098706 ISBN 13: 9780195098709
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Add to basketHardback. Condition: New. Some of the fundamental constraints of automated machine vision have been the inability automatically to adapt parameter settings or utilize previous adaptations in changing environments. Symbolic Visual Learning presents research which adds visual learning capabilities to computer vision systems. Using this state-of-the-art recognition technology, the outcome is different adaptive recognition systems that can measure their own performance, learn from their experience and outperform conventional static designs. Written as a companion volume to Early Visual Learning (edited by S. Nayar and T. Poggio), this book is intended for researchers and students in machine vision and machine learning.
Language: English
Published by Oxford University Press, 1997
ISBN 10: 0195098706 ISBN 13: 9780195098709
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Published by Oxford University Press, 1997
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Published by Oxford University Press Inc, New York, 1997
ISBN 10: 0195098706 ISBN 13: 9780195098709
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Hardcover. Condition: new. Hardcover. Some of the fundamental constraints of automated machine vision have been the inability to automatically adapt parameter settings or utilize previous adaptations in changing environments. Symbolic Visual Learning presents research which adds visual learning capabilities to computer vision systems. Using this state-of-the-art recognition technology, the outcome is different adaptive recognition systems that can measure their own performance, learn from theirexperience and outperform conventional static designs. Written as a companion volume to Early Visual Learning (edited by S. Nayar and T. Poggio), this book is intended for researchers and students in machinevision and machine learning. Symbolic Visual Learning, as presented in this book, consists of an area of research that tries to overcome fundamental constraints, enhancing recognition systems that can measure their own performance, learn from their experience, and outperform conventional static designs. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
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Published by Oxford University Press Inc, 1997
ISBN 10: 0195098706 ISBN 13: 9780195098709
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Language: English
Published by Oxford University Press, 1997
ISBN 10: 0195098706 ISBN 13: 9780195098709
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Buch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Some of the fundamental constraints of automated machine vision have been the inability automatically to adapt parameter settings or utilize previous adaptations in changing environments. Symbolic Visual Learning, as presented in this book, consists of an area of research that tries to overcome these fundamental constraints, enhancing state-of-the-art recognition systems that can measure their own performance, learn from their experience, and outperform conventionalstatic designs. It was written as a companion volume to Early Visual Learning edited by S. Nayar and T. Poggio.
Language: English
Published by Oxford University Press, 1997
ISBN 10: 0195098706 ISBN 13: 9780195098709
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Buch. Condition: Neu. Symbolic Visual Learning | Katsushi Ikeuchi (u. a.) | Buch | Gebunden | Englisch | 1997 | Oxford University Press | EAN 9780195098709 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.