A statistical multi-experts approach to image classification and segmentation

Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1995.

Bibliographic Details
Main Author: Mui, Lik
Other Authors: Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science
Format: Thesis
Language:eng
Published: Massachusetts Institute of Technology 2007
Subjects:
Online Access:http://hdl.handle.net/1721.1/38112
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author Mui, Lik
author2 Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science
author_facet Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science
Mui, Lik
author_sort Mui, Lik
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description Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1995.
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spelling mit-1721.1/381122019-04-10T18:27:20Z A statistical multi-experts approach to image classification and segmentation Mui, Lik Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science Electrical Engineering and Computer Science Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1995. Includes bibliographical references (leaves 170-177). by Lik Mui. M.Eng. 2007-07-18T13:37:50Z 2007-07-18T13:37:50Z 1995 1995 Thesis http://hdl.handle.net/1721.1/38112 34607627 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 177 leaves application/pdf Massachusetts Institute of Technology
spellingShingle Electrical Engineering and Computer Science
Mui, Lik
A statistical multi-experts approach to image classification and segmentation
title A statistical multi-experts approach to image classification and segmentation
title_full A statistical multi-experts approach to image classification and segmentation
title_fullStr A statistical multi-experts approach to image classification and segmentation
title_full_unstemmed A statistical multi-experts approach to image classification and segmentation
title_short A statistical multi-experts approach to image classification and segmentation
title_sort statistical multi experts approach to image classification and segmentation
topic Electrical Engineering and Computer Science
url http://hdl.handle.net/1721.1/38112
work_keys_str_mv AT muilik astatisticalmultiexpertsapproachtoimageclassificationandsegmentation
AT muilik statisticalmultiexpertsapproachtoimageclassificationandsegmentation