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Provable Self-Representation Based Outlier Detection in a Union of
  Subspaces

Provable Self-Representation Based Outlier Detection in a Union of Subspaces

12 April 2017
Chong You
Daniel P. Robinson
René Vidal
ArXivPDFHTML

Papers citing "Provable Self-Representation Based Outlier Detection in a Union of Subspaces"

4 / 4 papers shown
Title
Evaluation of (Un-)Supervised Machine Learning Methods for GNSS Interference Classification with Real-World Data Discrepancies
Evaluation of (Un-)Supervised Machine Learning Methods for GNSS Interference Classification with Real-World Data Discrepancies
Lucas Heublein
N. Raichur
Tobias Feigl
Tobias Brieger
Fin Heuer
Lennart Asbach
A. Rügamer
Felix Ott
47
7
0
31 Mar 2025
Learning a Self-Expressive Network for Subspace Clustering
Learning a Self-Expressive Network for Subspace Clustering
Shangzhi Zhang
Chong You
René Vidal
Chun-Guang Li
25
44
0
08 Oct 2021
Closed-Form, Provable, and Robust PCA via Leverage Statistics and
  Innovation Search
Closed-Form, Provable, and Robust PCA via Leverage Statistics and Innovation Search
M. Rahmani
Ping Li
8
4
0
23 Jun 2021
ARAE: Adversarially Robust Training of Autoencoders Improves Novelty
  Detection
ARAE: Adversarially Robust Training of Autoencoders Improves Novelty Detection
Mohammadreza Salehi
Atrin Arya
Barbod Pajoum
Mohammad Otoofi
Amirreza Shaeiri
M. Rohban
Hamid R. Rabiee
AAML
10
62
0
12 Mar 2020
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