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Structure-constrained low-rank and partial sparse representation for image classification

Author:
Liu, Yang
,
Liu, Haixu
,
Liu, Chenyu
,
Li, Xueming
Publisher:
IEEE
Year
: 2014
DOI: 10.1109/ICRA.2014.6907249
URI: http://libsearch.um.ac.ir:80/fum/handle/fum/1096642
Keyword(s): computational linguistics,n human-robot interaction,n mobile robots,n natural language processing,n service robots,n PR2 robot,n anaphoric expressions reference resolution,n automatic instruction sequence extraction,n contextually valid instruction sequences,n instruction sequence interpretation,n natural human-robot interaction,n natural language discourse,n pragmatics,n probabilistic algorithm,n robot platforms,n safe robot execution path generation
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    Structure-constrained low-rank and partial sparse representation for image classification

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contributor authorLiu, Yang
contributor authorLiu, Haixu
contributor authorLiu, Chenyu
contributor authorLi, Xueming
date accessioned2020-03-12T22:50:53Z
date available2020-03-12T22:50:53Z
date issued2014
identifier other7026057.pdf
identifier urihttp://libsearch.um.ac.ir:80/fum/handle/fum/1096642?locale-attribute=en
formatgeneral
languageEnglish
publisherIEEE
titleStructure-constrained low-rank and partial sparse representation for image classification
typeConference Paper
contenttypeMetadata Only
identifier padid8237217
subject keywordscomputational linguistics
subject keywordsn human-robot interaction
subject keywordsn mobile robots
subject keywordsn natural language processing
subject keywordsn service robots
subject keywordsn PR2 robot
subject keywordsn anaphoric expressions reference resolution
subject keywordsn automatic instruction sequence extraction
subject keywordsn contextually valid instruction sequences
subject keywordsn instruction sequence interpretation
subject keywordsn natural human-robot interaction
subject keywordsn natural language discourse
subject keywordsn pragmatics
subject keywordsn probabilistic algorithm
subject keywordsn robot platforms
subject keywordsn safe robot execution path generation
identifier doi10.1109/ICRA.2014.6907249
journal titlemage Processing (ICIP), 2014 IEEE International Conference on
filesize226528
citations0
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