Deep one-class learning: a deep learning approach to anomaly detection
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Abschlussarbeit Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Berlin
2021
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| Schlagworte: | |
| Online-Zugang: | kostenfrei |
| Beschreibung: | 1 Online-Ressource (xiii, 166 Seiten) Illustrationen, Diagramme |
| DOI: | 10.14279/depositonce-12250 |
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Datensatz im Suchindex
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| spelling | Ruff, Lukas Verfasser aut Deep one-class learning a deep learning approach to anomaly detection vorgelegt von Lukas Ruff, M.Sc. Deep one class learning Berlin 2021 1 Online-Ressource (xiii, 166 Seiten) Illustrationen, Diagramme txt rdacontent c rdamedia cr rdacarrier Dissertation Technische Universität Berlin 2021 Deep learning (DE-588)1135597375 gnd rswk-swf Anomalieerkennung (DE-588)1042742219 gnd rswk-swf (DE-588)4113937-9 Hochschulschrift gnd-content Anomalieerkennung (DE-588)1042742219 s Deep learning (DE-588)1135597375 s DE-604 Erscheint auch als Druck-Ausgabe (DE-604)BV047510436 https://doi.org/10.14279/depositonce-12250 Resolving-System kostenfrei Volltext |
| spellingShingle | Ruff, Lukas Deep one-class learning a deep learning approach to anomaly detection Deep learning (DE-588)1135597375 gnd Anomalieerkennung (DE-588)1042742219 gnd |
| subject_GND | (DE-588)1135597375 (DE-588)1042742219 (DE-588)4113937-9 |
| title | Deep one-class learning a deep learning approach to anomaly detection |
| title_alt | Deep one class learning |
| title_auth | Deep one-class learning a deep learning approach to anomaly detection |
| title_exact_search | Deep one-class learning a deep learning approach to anomaly detection |
| title_exact_search_txtP | Deep one-class learning a deep learning approach to anomaly detection |
| title_full | Deep one-class learning a deep learning approach to anomaly detection vorgelegt von Lukas Ruff, M.Sc. |
| title_fullStr | Deep one-class learning a deep learning approach to anomaly detection vorgelegt von Lukas Ruff, M.Sc. |
| title_full_unstemmed | Deep one-class learning a deep learning approach to anomaly detection vorgelegt von Lukas Ruff, M.Sc. |
| title_short | Deep one-class learning |
| title_sort | deep one class learning a deep learning approach to anomaly detection |
| title_sub | a deep learning approach to anomaly detection |
| topic | Deep learning (DE-588)1135597375 gnd Anomalieerkennung (DE-588)1042742219 gnd |
| topic_facet | Deep learning Anomalieerkennung Hochschulschrift |
| url | https://doi.org/10.14279/depositonce-12250 |
| work_keys_str_mv | AT rufflukas deeponeclasslearningadeeplearningapproachtoanomalydetection AT rufflukas deeponeclasslearning |