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Facial Emotion Recognition Using Active Shape Models and Statistical Pattern Recognizers

contributor authorJang, Gil-Jin
contributor authorPark, Jeong-Sik
contributor authorJo, Ahra
contributor authorKim, Ji-Hwan
date accessioned2020-03-12T22:35:47Z
date available2020-03-12T22:35:47Z
date issued2014
identifier other7016125.pdf
identifier urihttps://libsearch.um.ac.ir:443/fum/handle/fum/1088245?locale-attribute=en&show=full
formatgeneral
languageEnglish
publisherIEEE
titleFacial Emotion Recognition Using Active Shape Models and Statistical Pattern Recognizers
typeConference Paper
contenttypeMetadata Only
identifier padid8226238
subject keywordsMonte Carlo methods
subject keywordsn aerospace control
subject keywordsn linearisation techniques
subject keywordsn nonlinear control systems
subject keywordsn predictive control
subject keywordsn trajectory control
subject keywordsn CMPC
subject keywordsn Mars entry missions
subject keywordsn Mars entry trajectory tracking
subject keywordsn Monte Carlo simulations
subject keywordsn aerodynamic parameters
subject keywordsn atmospheric density
subject keywordsn ballistic coefficient
subject keywordsn complex uncertainties
subject keywordsn constrained multimodel predictive control
subject keywordsn constrained rolling optimization
subject keywordsn feedback correction
subject keywordsn input saturation constrain
identifier doi10.1109/ChiCC.2014.6896303
journal titleroadband and Wireless Computing, Communication and Applications (BWCCA), 2014 Ninth International Co
filesize141417
citations1


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