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Symbolic Visual Learning - Katsushi Ikeuchi,Manuela Velosa

English
1997-05-01
€326.74 €408.43

-20% with code BOOKS

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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 ... Full description

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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.

More Information

Author Katsushi Ikeuchi, Manuela Velosa
Publisher Oxford University Press
Release year 1997
Cover type Hardcover
EAN 9780195098709
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€326.74 €408.43