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Probability and statistics / Segmentation / Generative model / Mixture model / Minimum description length / Unsupervised learning / Expectation–maximization algorithm / Statistical classification / Supervised learning / Machine learning / Statistics / Computational statistics


Image and Vision Computing–97 www.elsevier.com/locate/imavis An observation-constrained generative approach for probabilistic classification of image regions Sanjiv Kumara,*, Alexander C. Louib, Martial He
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Document Date: 2010-06-01 18:50:17

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Leibler Divergence / Rochester / /

Company

Elsevier Science B.V. / Eastman Kodak Company / BT / /

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GBP / /

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Facility

Carnegie Mellon University / /

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online soft clustering applications / steel gate / /

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KLD falls / /

Organization

Carnegie Mellon University / Pittsburgh / Robotics Institute / USA Imaging Science and Technology Lab / /

Person

Sanjiv Kumara / Alexander C. Louib / Gabor Wavelets / /

Position

generative model for the data / representative / Corresponding author / /

Product

Pentax K-x Digital Camera / /

Technology

simulation / EM algorithm / /

URL

www.elsevier.com/locate/imavis / /

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