Identifying Outliers in Large Matrices via Randomized Adaptive Compressive Sampling

1 July 2014

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

9 / 9 papers shown

Title
Outlier Detection and Data Clustering via Innovation Search M. Rahmani P. Li 34 3 0 30 Dec 2019
A Dictionary-Based Generalization of Robust PCA Part II: Applications to Hyperspectral Demixing Sirisha Rambhatla Xingguo Li Jineng Ren Jarvis Haupt 20 6 0 26 Feb 2019
A Dictionary-Based Generalization of Robust PCA with Applications to Target Localization in Hyperspectral Imaging Sirisha Rambhatla Xingguo Li Jineng Ren Jarvis Haupt 22 2 0 21 Feb 2019
An Overview of Robust Subspace Recovery Gilad Lerman Tyler Maunu 28 130 0 02 Mar 2018
A Well-Tempered Landscape for Non-convex Robust Subspace Recovery Tyler Maunu Teng Zhang Gilad Lerman 24 63 0 13 Jun 2017
Coherence Pursuit: Fast, Simple, and Robust Principal Component Analysis M. Rahmani George Atia 35 134 0 15 Sep 2016
Randomized Robust Subspace Recovery for High Dimensional Data Matrices M. Rahmani George Atia 30 57 0 21 May 2015
Fast, Robust and Non-convex Subspace Recovery Gilad Lerman Tyler Maunu 41 77 0 24 Jun 2014
Adaptive sensing performance lower bounds for sparse signal detection and support estimation R. Castro 201 33 0 04 Jun 2012