Identifying Outliers in Large Matrices via Randomized Adaptive
Compressive Sampling

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Identifying Outliers in Large Matrices via Randomized Adaptive Compressive Sampling

1 July 2014

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Papers citing "Identifying Outliers in Large Matrices via Randomized Adaptive Compressive Sampling"

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Title
Detection of Thin Boundaries between Different Types of Anomalies in Outlier Detection using Enhanced Neural Networks Rasoul Kiani Amin Keshavarzi M. Bohlouli 8 12 0 24 Jan 2020
Outlier Detection and Data Clustering via Innovation Search M. Rahmani P. Li 73 3 0 30 Dec 2019
A Dictionary Based Generalization of Robust PCA Sirisha Rambhatla Xingguo Li Jarvis Haupt 21 9 0 21 Feb 2019
Scalable and Robust Community Detection with Randomized Sketching M. Rahmani Andre Beckus Adel Karimian George Atia 69 10 0 25 May 2018
An Overview of Robust Subspace Recovery Gilad Lerman Tyler Maunu 84 131 0 02 Mar 2018
Robust PCA by Manifold Optimization Teng Zhang Yi Yang 91 45 0 01 Aug 2017
A Well-Tempered Landscape for Non-convex Robust Subspace Recovery Tyler Maunu Teng Zhang Gilad Lerman 75 63 0 13 Jun 2017
Provable Self-Representation Based Outlier Detection in a Union of Subspaces Chong You Daniel P. Robinson René Vidal 98 115 0 12 Apr 2017
Coherence Pursuit: Fast, Simple, and Robust Principal Component Analysis M. Rahmani George Atia 101 135 0 15 Sep 2016
Randomized Robust Subspace Recovery for High Dimensional Data Matrices M. Rahmani George Atia 86 57 0 21 May 2015
High Dimensional Low Rank plus Sparse Matrix Decomposition M. Rahmani George Atia 154 78 0 01 Feb 2015
Fast, Robust and Non-convex Subspace Recovery Gilad Lerman Tyler Maunu 119 78 0 24 Jun 2014