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Imaging / Image processing / Estimation theory / Constellation model / Object recognition / Supervised learning / Maximum likelihood / Expectation–maximization algorithm / Scale invariance / Computer vision / Vision / Artificial intelligence


Document Date: 2005-11-28 22:46:16

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File Size: 3,58 MB

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City

Pasadena / Oxford / /

Company

MIT Press / /

Country

United States / United Kingdom / /

Currency

pence / /

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Facility

Engineering Science University of Oxford Parks Road / Electrical Engineering California Institute / Corel Image library / California Institute of Technology / /

IndustryTerm

maximum likelihood learning algorithm / unsupervised learning algorithm / space-search methods / search techniques / visual systems / scale-invariant car model / em algorithm / exhaustive search / search space / learning algorithm / search methods / /

Organization

Perceptual Organization / California Institute of Technology / California Institute of Technology MC / Engineering Science University of Oxford Parks Road / MIT / /

Person

Vbg / References Part / Kadir / Brady / /

Position

Spotted cat shape model / scale-invariant model for this dataset / Airplane shape model / Vp / covariance matrices Vp / scale−invariant shape model / Motorbike shape model / Face shape model / Fisher / computational model for visual selection / generative object class model / with P parts and parameters θ / /

ProvinceOrState

California / /

Technology

learning algorithm / maximum likelihood learning algorithm / machine vision / matching algorithm / Neural network / algorithm Agarwal−Roth algorithm / unsupervised learning algorithm / em algorithm / /

URL

http /

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