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Symbolic Visual Learning - Katsushi Ikeuchi,Manuela Velosa

angļu valoda
1997-05-01
267,34 € 445,56 €

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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 ... Pilns apraksts

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Aprašymas

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.

Vairāk informācijas

Autors Katsushi Ikeuchi, Manuela Velosa
Izdevējs Oxford University Press
Izlaides gads 1997
Vāka tips Cietais vāks
EAN 9780195098709
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267,34 € 445,56 €