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" A Novel Reduced-Complexity Approach to Hidden Markov Modeling of 2-D Processes with Application to Face RecognitionET C A L I B ~ &RIQUEMENTET C A L I B ~&RIQUEMENT.POMPES PAR TRANSITIONS MULTIPLES "


Document Type : Latin Dissertation
Language of Document : English
Record Number : 155034
Doc. No : ET26826
Main Entry : Hisham H. A. Othman
Title Proper : A Novel Reduced-Complexity Approach to Hidden Markov Modeling of 2-D Processes with Application to Face RecognitionET C A L I B ~ RIQUEMENTET C A L I B ~RIQUEMENT.POMPES PAR TRANSITIONS MULTIPLES
Note : This document is digital این مدرک بصورت الکترونیکی می باشد
Abstract : The 2-D Hidden Markov Model (HMM) is an extension of the traditional 1-D HMMthat has shown distinctive efficiency in modeling 1-D signals. Unlike 1-D HMMs, 2-DHMMs are known for their prohibitively high complexity. This encouraged many.
Subject : Electericl tess
: برق
electronic file name : TL51103.pdf
Title and statement of responsibility and : A Novel Reduced-Complexity Approach to Hidden Markov Modeling of 2-D Processes with Application to Face RecognitionET C A L I B ~ RIQUEMENTET C A L I B ~RIQUEMENT.POMPES PAR TRANSITIONS MULTIPLES [Thesis]
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TL51103.pdf
TL51103.pdf
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