Symbolic Visual Learning (Hardcover)

Language: English

Published by Oxford University Press Inc, New York, 1997

0195098706 / 9780195098709

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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.…

Seller Inventory # 9780195098709

Title
Symbolic Visual Learning (Hardcover)
Author
Katsushi Ikeuchi
Publisher
Oxford University Press Inc, New York
Publication year
1997
Condition
new
Binding
Hardcover
Language
English
ISBN 10
0195098706
ISBN 13
9780195098709

CitiRetail

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