Unsupervised Sequential Outlier Detection With Deep Architectures
Unsupervised outlier detection is a vital task and has high impact on a wide variety of applications domains, such as image analysis and video surveillance. It also gains long-standing attentions and has been extensively studied in multiple research areas. Detecting and taking action on outliers as...
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Détails bibliographiques
| Publié dans: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. - 1992. - 26(2017), 9 vom: 01. Sept., Seite 4321-4330
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| Auteur principal: |
Lu, Weining
(Auteur) |
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| Autres auteurs: |
Cheng, Yu,
Xiao, Cao,
Chang, Shiyu,
Huang, Shuai,
Liang, Bin,
Huang, Thomas |
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| Format: | Article en ligne
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| Langue: | English |
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| Publié: |
2017
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| Accès à la collection: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
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| Sujets: | Journal Article |
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