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Sample Space Dimensionality Refinement for Symmetrical Object Detection

contributor authorYun-Fu Liu
contributor authorJing-Ming Guo
contributor authorChih-Hsien Hsia
contributor authorSheng-Yao Su
contributor authorHua Lee
date accessioned2020-03-13T00:21:32Z
date available2020-03-13T00:21:32Z
date issued2014
identifier issn1556-6013
identifier other6894132.pdf
identifier urihttps://libsearch.um.ac.ir:443/fum/handle/fum/1143743?locale-attribute=fa&show=full
formatgeneral
languageEnglish
publisherIEEE
titleSample Space Dimensionality Refinement for Symmetrical Object Detection
typeJournal Paper
contenttypeMetadata Only
identifier padid8326381
subject keywordscomputational complexity
subject keywordsdata reduction
subject keywordsface recognition
subject keywordsfeature extraction
subject keywordsobject detection
subject keywordspedestrians
subject keywordstraffic engineering computing
subject keywordscomputational complexity reduction
subject keywordsdimensionality reduction techniques
subject keywordsface detection
subject keywordsfeature statistical significance extraction
subject keywordslicense plate
subject keywordspartial symmetric property
subject keywordspattern recognition related fields
subject keywordspedestrian detection
subject keywordssample space dimensionality refinement
subject keywordssymmetrical object detection
subject keywordsComplexity theory
subject keywordsFace
subject keywordsFeature extraction
subject keywordsLicenses
identifier doi10.1109/TIFS.2014.2355495
journal titleInformation Forensics and Security, IEEE Transactions on
journal volume9
journal issue11
filesize2268998
citations0


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