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Cluster analysis / Image processing / Segmentation / Market segmentation / Dirichlet process / K-means clustering / Mixture model / Chinese restaurant process / Spectral clustering / Statistics / Stochastic processes / Machine learning


Spatial distance dependent Chinese restaurant processes for image segmentation Soumya Ghosh1 , Andrei B. Ungureanu2 , Erik B. Sudderth1 , and David M. Blei3 1 Department of Computer Science, Brown University, {sghosh,su
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Document Date: 2015-03-12 00:16:21


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File Size: 1,81 MB

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City

Springer-Verlag / /

Company

Morgan Stanley / /

Country

Jordan / /

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EntertainmentAwardEvent

Street scene / /

Facility

Princeton University / Brown University / /

IndustryTerm

model search using segmentation / segmentation algorithms / grid search / spectral clustering algorithm / normalized cut algorithm / posterior inference algorithms / Image segmentation algorithms / web-based tool / simpler ddCRP-based algorithms / simpler inference algorithm / /

Organization

American Statistical Association / Brown University / Department of Computer Science / Princeton University / /

Person

C.C. Fowlkes / C. Rother / V / Richard Socher / Lu Ren / D. R. Martin / J. Malik / H. Greenspan / Lawrence Carin / C. Carson / David Dunson / Lan Du / Christopher D. Manning / S. Belongie / Andrew Maas / /

Position

classification model for segmentation / /

ProvinceOrState

New York / /

PublishedMedium

ACM Transactions on Graphics / Journal of Machine Learning Research / Journal of the American Statistical Association / /

Technology

Bayesian algorithm / artificial intelligence / substantially simpler inference algorithm / spectral clustering algorithm / comparatively simpler ddCRP-based algorithms / normalized cut algorithm / promising segmentation algorithms / Machine Learning / posterior inference algorithms / nonparametric Bayesian segmentation algorithms / Image segmentation algorithms / /

URL

http /

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