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A combination of generative and discriminative models for fast unsupervised activity recognition from traffic scene videos

contributor authorKrishna, M.V. , Denzler, J.
date accessioned2020-03-12T19:52:10Z
date available2020-03-12T19:52:10Z
date issued2014
identifier other6836042.pdf
identifier urihttp://libsearch.um.ac.ir:80/fum/handle/fum/993163?locale-attribute=en&show=full
formatgeneral
languageEnglish
publisherIEEE
titleA combination of generative and discriminative models for fast unsupervised activity recognition from traffic scene videos
typeConference Paper
contenttypeMetadata Only
identifier padid8112354
subject keywordsBiochemistry
subject keywordsBiosensors
subject keywordsElectrodes
subject keywordsHydrogen
subject keywordsScanning electron microscopy
subject keywordsSilicon
subject keywordsSurface morphology
subject keywordscyclic voltammetry
subject keywordshorseradish peroxidase
subject keywordshydrogen peroxide
subject keywordsporous silicon
identifier doi10.1109/NAWDMPV.2014.6997609
journal titlepplications of Computer Vision (WACV), 2014 IEEE Winter Conference on
filesize6558454
citations0


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