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Dynamic Texture Classification Using Dynamic Fractal Analysis ∗ Yong Xu1 , Yuhui Quan1 , Haibin Ling2 and Hui Ji3 1 2
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Document Date: 2011-08-01 03:31:52


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File Size: 1,66 MB

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City

Fractal / Guangzhou / /

Company

Fundamental Research Funds / /

Country

United States / China / /

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Facility

National University of Singapore / Temple University / /

IndustryTerm

local power law / oriented energy representation / non-linear stochastic dynamic systems / classification algorithms / power-law models / power law / power law existing / stochastic dynamical systems / physical dynamic systems / dynamical systems / /

OperatingSystem

PEGASOS / /

Organization

National University of Singapore / Singapore / UCLA / National Science Foundation / South China Univ. of Tech / Department of Mathematics / School of Computer Science & Engineering / China Department of Computer and Information Sciences / Temple University / Philadelphia / /

Person

J.R. Smith / M. Naphade / Pixel / C.Y. Lin / John Wiley / /

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Position

radius rt / rt / phase-based DT model for several DT-related tasks / rs and temporal radius rt / /

ProvinceOrState

Pennsylvania / /

Region

South China / /

Technology

Geophysics / distance learning / DT classification algorithms / /

URL

http /

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