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...
Ausführliche Beschreibung
Bibliographische Detailangaben
| Veröffentlicht in: | 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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| 1. Verfasser: |
Lu, Weining
(VerfasserIn) |
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| Weitere Verfasser: |
Cheng, Yu,
Xiao, Cao,
Chang, Shiyu,
Huang, Shuai,
Liang, Bin,
Huang, Thomas |
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| Format: | Online-Aufsatz
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| Sprache: | English |
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| Veröffentlicht: |
2017
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| Zugriff auf das übergeordnete Werk: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
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| Schlagworte: | Journal Article |
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