Symbolic Visual Learning. This item is unavailable.
Language: English
Published by Oxford University Press, Incorporated, 1997
- Hardcover
- Used
Seller: Better World Books, Mishawaka, IN, U.S.A.Better World Books
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Hardcover
Condition: Used - Good
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Item description from seller
Former library copy. Pages intact with minimal writing/highlighting. The binding may be loose and creased. Dust jackets/supplements are not included. Includes library markings. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.
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- Title
- Symbolic Visual Learning
- Publisher
- Oxford University Press, Incorporated
- Publication year
- 1997
- Condition
- Good
- Binding
- Hardcover
- Language
- English
- ISBN 10
- 0195098706
- ISBN 13
- 9780195098709
- Item weight
- 1.766 pounds
- Dimensions
- N/A
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.
"Synopsis" may belong to another edition of this title.
About the Author
Katsuchi Ikeuchi is at Carnegie Mellon University. Manuela Velosa is at Carnegie Mellon University.
"About the title" may belong to another edition of this title.