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EBOOKCENTRAL_ocn886372603 |
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140811s2014 ts ob 001 0 eng d |
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|a 9781608059003
|q (electronic bk.)
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|a 1608059006
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|a UAMI
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|a Farmer, Michael E.,
|e author.
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|a Application of chaos and fractals to computer vision /
|c authored by Michael E. Farmer, University of Michigan-Flint.
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|a Sharjah, U.A.E. :
|b Bentham Science Publishers,
|c [2014]
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|c Ã2014
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|a 1 online resource
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|a text
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|a computer
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|b cr
|2 rdacarrier
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|a Title from PDF title page (viewed August 11, 2014).
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|a Includes bibliographical references and index.
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|a Cover; Title; EUL; Dedication; Contents ; Biography; Foreword; Preface; Chapter 01; Chapter 02; Chapter 03; Chapter 04; Chapter 05; Chapter 06; Chapter 07; Chapter 08; Chapter 09; Chapter 10; References; Author Index; Index.
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|a This book provides a thorough investigation of the application of chaos theory and fractal analysis to computer vision. The field of chaos theory has been studied in dynamical physical systems, and has been very successful in providing computational models for very complex problems ranging from weather systems to neural pathway signal propagation. Computer vision researchers have derived motivation for their algorithms from biology and physics for many years as witnessed by the optical flow algorithm, the oscillator model underlying graphical cuts and of course neural networks. These algorithm.
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|a eBooks on EBSCOhost
|b EBSCO eBook Subscription Academic Collection - Worldwide
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|a Computer vision.
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|a Chaotic behavior in systems.
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|a Fractal analysis.
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|a Vision par ordinateur.
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|a Chaos.
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|a Analyse fractale.
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|a COMPUTERS
|x General.
|2 bisacsh
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|a Chaotic behavior in systems
|2 fast
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|a Computer vision
|2 fast
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|a Fractal analysis
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