Symbolic Visual Learning by Katsushi Ikeuchi (Editor) - PDF free download eBook

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  • Published: Sep 02, 2015
  • Reviews: 25

Brief introduction:

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...

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Details of Symbolic Visual Learning

ISBN
9780195098709
Publication date
Age range
18+ Years
Book language
English
Pages
368
Format
PDF, EPUB, RTF, TXT
Quality
Normal quality OCR
Dimensions
7.25 (w) x 10.25 (h) x 1.00 (d)
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Some brief overview of this book

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.

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A few words about book author

University of Tokyo

Carnegie Mellon University

nal 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.

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