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Recognition of American sign language using LBG vector quantization

contributor authorRaut, K.S.
contributor authorMali, S.
contributor authorThepade, S.D.
contributor authorSanas, S.P.
date accessioned2020-03-12T21:02:23Z
date available2020-03-12T21:02:23Z
date issued2014
identifier other6921745.pdf
identifier urihttps://libsearch.um.ac.ir:443/fum/handle/fum/1034837?locale-attribute=fa&show=full
formatgeneral
languageEnglish
publisherIEEE
titleRecognition of American sign language using LBG vector quantization
typeConference Paper
contenttypeMetadata Only
identifier padid8160790
subject keywordscomputer aided instruction
subject keywordseducational courses
subject keywordsgroupware
subject keywordsCLE platform
subject keywordsKhalifa University
subject keywordsMolecular Biology Course
subject keywordscollaborative learning environment
subject keywordsengineering course
subject keywordsgenerative mixture model
subject keywordsgroup coursework grade
subject keywordsgroup performance
subject keywordsstudent collaboration pattern
subject keywordsstudent grades
subject keywordsstudent learning outcome
subject keywordsstudent quality
subject keywordsBiology
subject keywordsCollaboration
subject keywordsCollaborative work
subject keywordsEducational institutions
subject keywordsJoining processes
subject keywordsLeast squares approximations
subject keywordsTime series analysis
subject keywordsCollaborative Learning E
identifier doi10.1109/ICL.2014.7017845
journal titleomputer Communication and Informatics (ICCCI), 2014 International Conference on
filesize370572
citations0


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