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9.913-C Pattern Recognition for Machine Vision, Spring 2002

Author(s)
Poggio, Tomaso; Heisele, Bernd; Ivanov, Yuri A., 1967-
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Alternative title
Pattern Recognition for Machine Vision
Terms of use
Usage Restrictions: This site (c) Massachusetts Institute of Technology 2003. Content within individual courses is (c) by the individual authors unless otherwise noted. The Massachusetts Institute of Technology is providing this Work (as defined below) under the terms of this Creative Commons public license ("CCPL" or "license"). The Work is protected by copyright and/or other applicable law. Any use of the work other than as authorized under this license is prohibited. By exercising any of the rights to the Work provided here, You (as defined below) accept and agree to be bound by the terms of this license. The Licensor, the Massachusetts Institute of Technology, grants You the rights contained here in consideration of Your acceptance of such terms and conditions.
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Abstract
The course is directed towards advanced undergraduate and beginning graduate students. It will focus on applications of pattern recognition techniques to problems of machine vision. The topics covered in the course include: Overview of problems of machine vision and pattern classification Image formation and processing Feature extraction from images Biological object recognition Bayesian Decision Theory Clustering
Date issued
2002-06
URI
http://hdl.handle.net/1721.1/36352
Department
Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences
Other identifiers
9.913-C-Spring2002
local: 9.913-C
local: IMSCP-MD5-1fd44c42963d0e0b6836ed93d7c774d7
Keywords
pattern recognition, machine vision, pattern classification, Image formation, processing, feature extraction, Biological object recognition, Bayesian Decision Theory, Clustering, Optical pattern recognition, Computer vision

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