Anomaly Detection with Tensor Networks

Originating from condensed matter physics, tensor networks are compact representations of high-dimensional tensors. In this paper, the prowess of tensor networks is demonstrated on the particular task of one-class anomaly detection. We exploit the memory and computational efficiency of tensor networ...

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Veröffentlicht in:	arXiv.org 2020-06
Hauptverfasser:	Wang, Jinhui, Roberts, Chase, Vidal, Guifre, Leichenauer, Stefan
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Anomalies Condensed matter physics Datasets Linear transformations Linearity Machine learning Mathematical analysis Networks Normality Tensors
Online-Zugang:	Volltext
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