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Invariants Pattern Recognition Classification (5 results)
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Invariants for Pattern Recognition and Classification
Language: English
Published by World Scientific Publishing Company, 2001
ISBN 10: 9810242786 ISBN 13: 9789810242787
Hardcover. Condition: Good. Good condition. Good dust jacket. Volume 42. A copy that may have a few cosmetic defects. May also contain light spine creasing or a few markings such as an owner's name, short gifter's inscription or light stamp.
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Invariants for Pattern Recognition and Classification
Language: English
Published by World Scientific Publishing Company, 2001
ISBN 10: 9810242786 ISBN 13: 9789810242787
Hardcover. Condition: New. SHRINK-WRAPPED: US SELLER SHIPS FAST FROM USA.
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Invariants for Pattern Recognition and Classification
Language: English
Published by World Scientific Publishing Company, 2001
ISBN 10: 9810242786 ISBN 13: 9789810242787
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
Condition: New. In.
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Invariants For Pattern Recognition And Classification
Language: English
Published by WORLD SCIENTIFIC PUB CO INC, 2001
ISBN 10: 9810242786 ISBN 13: 9789810242787
Gebunden. Condition: New. A study of invariants. The papers are organized into two categories: foundations and applications. The foundation papers present ways of defining or analyzing invariants, and the application papers present ways in which known invariant theory is extended an.
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Invariants for Pattern Recognition and Classification
Language: English
Published by World Scientific Publishing Company Jan 2001, 2001
ISBN 10: 9810242786 ISBN 13: 9789810242787
Buch. Condition: Neu. Neuware - This book was conceived from the realization that there was a need to update recent work on invariants in a single volume providing a useful set of references and pointers to related work. Since the publication in 1992 of J L Mundy and A Zisserman's Geometric Invariance in Computer Vision, the subject has been evolving rapidly. New approaches to invariants have been proposed and novel ways of defining and applying invariants to practical problem solving are testimony to the fundamental importance of the study of invariants to machine vision. This book represents a snapshot of current research around the world.
