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Anomaly Detection Using the Poisson Process Limit for Extremes

contributor authorLuca, Stijn
contributor authorKarsmakers, Peter
contributor authorVanrumste, Bart
date accessioned2020-03-12T22:46:39Z
date available2020-03-12T22:46:39Z
date issued2014
identifier other7023354.pdf
identifier urihttp://libsearch.um.ac.ir:80/fum/handle/fum/1094212?show=full
formatgeneral
languageEnglish
publisherIEEE
titleAnomaly Detection Using the Poisson Process Limit for Extremes
typeConference Paper
contenttypeMetadata Only
identifier padid8233909
subject keywordshome automation
subject keywordsn learning (artificial intelligence)
subject keywordsn dynamic real living space
subject keywordsn dynamic smart-home environments
subject keywordsn information reuse
subject keywordsn internal components
subject keywordsn knowledge transfer
subject keywordsn learning context models
subject keywordsn model training
subject keywordsn multiple-transfer framework
subject keywordsn overall adaptability improvement
subject keywordsn overall practicality improvement
subject keywordsn Activity Recognition
subject keywordsn Context-Awareness
subject keywordsn Dynamic Environment
subject keywordsn Transfer Learning
identifier doi10.1109/ICCE-TW.2014.6904067
journal titleata Mining (ICDM), 2014 IEEE International Conference on
filesize368059
citations0


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