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By
Katsushi Ikeuchi (editor) and
Manuela Veloso (editor)
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Jump down to see edition details for: Hardcover
Bibliographic Detail
Publisher
Oxford Univ Pr on Demand
Publication date
May 1, 1997
Pages
355
Binding
Hardcover
Book category
Adult Non-Fiction
ISBN-13
9780195098709
ISBN-10
0195098706
Dimensions
0.75 by 7.50 by 10.50 in.
Weight
1.85 lbs.
Original list price
$125.00
Other format details
university press
Summaries and Reviews
(view table of contents)
Amazon.com description: Product Description: 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.
Editions
Hardcover
The price comparison is for this edition
from Oxford Univ Pr on Demand (May 1, 1997)
9780195098709 | details & prices | 355 pages | 7.50 × 10.50 × 0.75 in. | 1.85 lbs | List price $125.00
About: 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.
About: 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.
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