Anomaly Detection Using the Poisson Process Limit for Extremes
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Year
: 2014DOI: 10.1109/ICCE-TW.2014.6904067
Keyword(s): home automation,n learning (artificial intelligence),n dynamic real living space,n dynamic smart-home environments,n information reuse,n internal components,n knowledge transfer,n learning context models,n model training,n multiple-transfer framework,n overall adaptability improvement,n overall practicality improvement,n Activity Recognition,n Context-Awareness,n Dynamic Environment,n Transfer Learning
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Anomaly Detection Using the Poisson Process Limit for Extremes
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| contributor author | Luca, Stijn | |
| contributor author | Karsmakers, Peter | |
| contributor author | Vanrumste, Bart | |
| date accessioned | 2020-03-12T22:46:39Z | |
| date available | 2020-03-12T22:46:39Z | |
| date issued | 2014 | |
| identifier other | 7023354.pdf | |
| identifier uri | http://libsearch.um.ac.ir:80/fum/handle/fum/1094212?locale-attribute=en | |
| format | general | |
| language | English | |
| publisher | IEEE | |
| title | Anomaly Detection Using the Poisson Process Limit for Extremes | |
| type | Conference Paper | |
| contenttype | Metadata Only | |
| identifier padid | 8233909 | |
| subject keywords | home automation | |
| subject keywords | n learning (artificial intelligence) | |
| subject keywords | n dynamic real living space | |
| subject keywords | n dynamic smart-home environments | |
| subject keywords | n information reuse | |
| subject keywords | n internal components | |
| subject keywords | n knowledge transfer | |
| subject keywords | n learning context models | |
| subject keywords | n model training | |
| subject keywords | n multiple-transfer framework | |
| subject keywords | n overall adaptability improvement | |
| subject keywords | n overall practicality improvement | |
| subject keywords | n Activity Recognition | |
| subject keywords | n Context-Awareness | |
| subject keywords | n Dynamic Environment | |
| subject keywords | n Transfer Learning | |
| identifier doi | 10.1109/ICCE-TW.2014.6904067 | |
| journal title | ata Mining (ICDM), 2014 IEEE International Conference on | |
| filesize | 368059 | |
| citations | 0 |