Symbolic Visual Learning

Katsushi Ikeuchi editor Manuela Velosa editor

Format:Hardback

Publisher:Oxford University Press Inc

Published:29th May '97

Currently unavailable, and unfortunately no date known when it will be back

Symbolic Visual Learning cover

Some of the fundamental constraints of automated machine vision have been the inability automatically to 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.

ISBN: 9780195098709

Dimensions: 260mm x 184mm x 26mm

Weight: 799g

368 pages