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Symbolic Visual Learning

Symbolic Visual Learning

Hardcover

General Computers

ISBN10: 0195098706
ISBN13: 9780195098709
Publisher: Oxford University Press
Published: May 1 1997
Pages: 368
Weight: 1.86
Height: 0.81 Width: 7.00 Depth: 10.00
Language: English
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.

Also from

Ikeuchi, Katsushi

Also in

General Computers