Maximum likelihood parameter estimation of mixture models and its application to image segmentation and restoration

Thesis (M.S.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1997.

Bibliographic Details
Main Author: Saeed, Mohammed
Other Authors: W. Clement Karl.
Format: Thesis
Language:eng
Published: Massachusetts Institute of Technology 2008
Subjects:
Online Access:http://hdl.handle.net/1721.1/43410
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author Saeed, Mohammed
author2 W. Clement Karl.
author_facet W. Clement Karl.
Saeed, Mohammed
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description Thesis (M.S.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1997.
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spelling mit-1721.1/434102019-04-11T02:53:47Z Maximum likelihood parameter estimation of mixture models and its application to image segmentation and restoration Saeed, Mohammed W. Clement Karl. Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science Electrical Engineering and Computer Science Thesis (M.S.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1997. Includes bibliographical references (leaves 79-82). by Mohammed Saeed. M.S. 2008-11-07T19:38:06Z 2008-11-07T19:38:06Z 1997 1997 Thesis http://hdl.handle.net/1721.1/43410 37658994 eng M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission. http://dspace.mit.edu/handle/1721.1/7582 82 leaves application/pdf Massachusetts Institute of Technology
spellingShingle Electrical Engineering and Computer Science
Saeed, Mohammed
Maximum likelihood parameter estimation of mixture models and its application to image segmentation and restoration
title Maximum likelihood parameter estimation of mixture models and its application to image segmentation and restoration
title_full Maximum likelihood parameter estimation of mixture models and its application to image segmentation and restoration
title_fullStr Maximum likelihood parameter estimation of mixture models and its application to image segmentation and restoration
title_full_unstemmed Maximum likelihood parameter estimation of mixture models and its application to image segmentation and restoration
title_short Maximum likelihood parameter estimation of mixture models and its application to image segmentation and restoration
title_sort maximum likelihood parameter estimation of mixture models and its application to image segmentation and restoration
topic Electrical Engineering and Computer Science
url http://hdl.handle.net/1721.1/43410
work_keys_str_mv AT saeedmohammed maximumlikelihoodparameterestimationofmixturemodelsanditsapplicationtoimagesegmentationandrestoration