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Termin (Alle Termine)
Datum Fr 19. Januar 2018, 11:30 Uhr
Dauer 20 min
Ort Raum 348 (Gebäude 50.34)
Vorheriger Termin Fr 12. Januar 2018
Nächster Termin Fr 26. Januar 2018


Vortragende(r) Florian Pieper
Titel Neural-Based Outlier Detection in Data Streams
Vortragstyp Proposal
Betreuer(in) Edouard Fouché
Kurzfassung Outlier detection often needs to be done unsupervised with high dimensional data in data streams. “Deep structured energy-based models” (DSEBM) and “Variational Denoising Autoencoder” (VDA) are two promising approaches for outlier detection. They will be implemented and adapted for usage in data streams. Finally, their performance will be shown in experiments including the comparison with state of the art approaches.
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