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Escolano Francisco, Suau Pablo, Bonev Boyan:
Information Theory In Computer Vision And Pattern Recognition

Springer London Ltd (United Kingdom), 2009
Hardback, 412 pages
Size: 235x155 mm
ISBN: 9781848822962
ISBN-10: 1848822960

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Information Theory In Computer Vision And Pattern Recognition

Researchers are bringing information theory elements to the computer vision and pattern recognition (CVPR) arena. Among these elements there are measures (entropy, mutual information), principles (maximum entropy, minimax entropy) and theories (rate distortion theory, method of types). This book explores the latter elements.

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Francisco Escolano
Pablo Suau
Boyan Bonev
Computer vision
Artificial intelligence
Applications of computing
Computing and information technology
Springer London Ltd

More information from Wikipedia:

Francisco Escolano
Pablo Suau
Boyan Bonev
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