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contributor authorTsung-Hung Tsai
contributor authorWen-Huang Cheng
contributor authorChuang-Wen You
contributor authorMin-Chun Hu
contributor authorTsui, Arvin Wen
contributor authorHeng-Yu Chi
date accessioned2020-03-12T18:39:44Z
date available2020-03-12T18:39:44Z
date issued2014
identifier issn1057-7149
identifier other6705667.pdf
identifier urihttp://libsearch.um.ac.ir:80/fum/handle/fum/966007?show=full
formatgeneral
languageEnglish
publisherIEEE
titleLearning and Recognition of On-Premise Signs From Weakly Labeled Street View Images
typeJournal Paper
contenttypeMetadata Only
identifier padid7999746
subject keywordslearning (artificial intelligence)
subject keywordsmobile computing
subject keywordsobject recognition
subject keywordsOPS data set
subject keywordsOPS-62
subject keywordsaugmented reality interface
subject keywordscamera-enabled mobile devices
subject keywordscomplex environmental conditions
subject keywordsdaily life visual object recognition
subject keywordsdistributional clustering
subject keywordsmobile information retrieval
subject keywordson-premise signs
subject keywordsprobabilistic framework
subject keywordsprobabilistic latent semantic analysis models
subject keywordsreal-world OPS learning
subject keywordsweakly labeled street view images
subject keywordsBusiness
subject keywordsFeature extraction
subject keywordsImage color analysis
subject keywordsImage recogni
identifier doi10.1109/TIP.2014.2298982
journal titleImage Processing, IEEE Transactions on
journal volume23
journal issue3
filesize4876041
citations0


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