Robust Subspace Learning: Robust PCA, Robust Subspace Tracking, and Robust Subspace Recovery

26 November 2017

Namrata Vaswani

T. Bouwmans

S. Javed

Praneeth Narayanamurthy

OOD

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Papers citing "Robust Subspace Learning: Robust PCA, Robust Subspace Tracking, and Robust Subspace Recovery"

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Title
ALPCAH: Subspace Learning for Sample-wise Heteroscedastic Data Javier Salazar Cavazos Jeffrey A. Fessler Laura Balzano 24 2 0 12 May 2025
Computational Safety for Generative AI: A Signal Processing Perspective Pin-Yu Chen 66 1 0 18 Feb 2025
SubTrack your Grad: Gradient Subspace Tracking for Memory and Time Efficient Full-Parameter LLM Training Sahar Rajabi Nayeema Nonta Sirisha Rambhatla 85 0 0 03 Feb 2025
FADE: A Dataset for Detecting Falling Objects around Buildings in Video Zhigang Tu Zitao Gao Zhengbo Zhang Chunluan Zhou Junsong Yuan Bo Du 28 0 0 11 Aug 2024
Learning Low-dimensional Latent Dynamics from High-dimensional Observations: Non-asymptotics and Lower Bounds Yuyang Zhang Shahriar Talebi Na Li 29 1 0 09 May 2024
Subspace Defense: Discarding Adversarial Perturbations by Learning a Subspace for Clean Signals Rui Zheng Yuhao Zhou Zhiheng Xi Tao Gui Qi Zhang Xuanjing Huang AAML 24 0 0 24 Mar 2024
CURATRON: Complete Robust Preference Data for Robust Alignment of Large Language Models S. Nguyen Uma-Naresh Niranjan Theja Tulabandhula 23 0 0 05 Mar 2024
Learning Spatial-Temporal Regularized Tensor Sparse RPCA for Background Subtraction B. Alawode S. Javed 18 4 0 27 Sep 2023
Byzantine-Resilient Federated PCA and Low Rank Column-wise Sensing Ankit Pratap Singh Namrata Vaswani 16 0 0 25 Sep 2023
ALPCAH: Sample-wise Heteroscedastic PCA with Tail Singular Value Regularization Javier Salazar Cavazos Jeffrey A. Fessler Laura Balzano 13 0 0 06 Jul 2023
The Ideal Continual Learner: An Agent That Never Forgets Liangzu Peng Paris V. Giampouras René Vidal CLL 106 26 0 29 Apr 2023
Learning Temporal Distribution and Spatial Correlation Towards Universal Moving Object Segmentation Guanfang Dong Chenqiu Zhao Xichen Pan Anup Basu VOS 8 3 0 19 Apr 2023
Dynamic Subspace Estimation with Grassmannian Geodesics Cameron J. Blocker Haroon Raja Jeffrey A. Fessler Laura Balzano 22 4 0 26 Mar 2023
Less is Better: Recovering Intended-Feature Subspace to Robustify NLU Models Ting Wu Tao Gui 32 5 0 16 Sep 2022
PS-Net: Learned Partially Separable Model for Dynamic MR Imaging Chentao Cao Zhuoxu Cui Qingyong Zhu Congcong Liu Dong Liang Yanjie Zhu 11 0 0 09 May 2022
Exact Decomposition of Joint Low Rankness and Local Smoothness Plus Sparse Matrices Jiangjun Peng Yao Wang Hongying Zhang Jianjun Wang Deyu Meng 28 51 0 29 Jan 2022
FAST-PCA: A Fast and Exact Algorithm for Distributed Principal Component Analysis Arpita Gang W. Bajwa 42 16 0 27 Aug 2021
Graph-Embedded Subspace Support Vector Data Description Fahad Sohrab Alexandros Iosifidis M. Gabbouj Jenni Raitoharju 13 14 0 29 Apr 2021
Universal Background Subtraction based on Arithmetic Distribution Neural Network Chenqiu Zhao Kang-Ting Hu Anup Basu 13 21 0 16 Apr 2021
Robust Principal Component Analysis: A Median of Means Approach Debolina Paul Saptarshi Chakraborty Swagatam Das 11 8 0 05 Feb 2021
Unlabeled Principal Component Analysis and Matrix Completion Yu Yao Liangzu Peng M. Tsakiris 23 13 0 23 Jan 2021
A Deep-Unfolded Reference-Based RPCA Network For Video Foreground-Background Separation Huynh Van Luong Boris Joukovsky Yonina C. Eldar Nikos Deligiannis 13 15 0 02 Oct 2020
Graph Embedding with Data Uncertainty Firas Laakom Jenni Raitoharju Nikolaos Passalis Alexandros Iosifidis M. Gabbouj 16 5 0 01 Sep 2020
Fast Robust Subspace Tracking via PCA in Sparse Data-Dependent Noise Praneeth Narayanamurthy Namrata Vaswani 22 10 0 14 Jun 2020
Hyper RPCA: Joint Maximum Correntropy Criterion and Laplacian Scale Mixture Modeling On-the-Fly for Moving Object Detection Zerui Shao Yi-fei Pu Jiliu Zhou B. Wen Yi Zhang 8 8 0 14 Jun 2020
G-LBM:Generative Low-dimensional Background Model Estimation from Video Sequences B. Rezaei Amirreza Farnoosh Sarah Ostadabbas 18 10 0 16 Mar 2020
Summarizing the performances of a background subtraction algorithm measured on several videos Sébastien Piérard Marc Van Droogenbroeck 11 3 0 13 Feb 2020
Deep Autoencoders with Value-at-Risk Thresholding for Unsupervised Anomaly Detection A. Akhriev Jakub Mareˇcek UQCV 14 4 0 09 Dec 2019
On Universal Features for High-Dimensional Learning and Inference Shao-Lun Huang A. Makur G. Wornell Lizhong Zheng 11 53 0 20 Nov 2019
On-line Non-Convex Constrained Optimization Olivier Massicot Jakub Mareˇcek 14 13 0 16 Sep 2019
Background Subtraction using Adaptive Singular Value Decomposition Günther Reitberger T. Sauer 16 8 0 28 Jun 2019
Sparse Equisigned PCA: Algorithms and Performance Bounds in the Noisy Rank-1 Setting Arvind Prasadan R. Nadakuditi D. Paul 13 0 0 22 May 2019
RES-PCA: A Scalable Approach to Recovering Low-rank Matrices Chong Peng Chenglizhao Chen Zhao Kang Jianbo Li Q. Cheng 17 25 0 16 Apr 2019
Background Subtraction in Real Applications: Challenges, Current Models and Future Directions T. Bouwmans B. G. García 8 268 0 11 Jan 2019
Deep Neural Network Concepts for Background Subtraction: A Systematic Review and Comparative Evaluation T. Bouwmans S. Javed M. Sultana Soon Ki Jung 11 316 0 13 Nov 2018
CVABS: Moving Object Segmentation with Common Vector Approach for Videos Ş. Işık Kemal Özkan Ö. N. Gerek 18 10 0 19 Oct 2018
Nonconvex Optimization Meets Low-Rank Matrix Factorization: An Overview Yuejie Chi Yue M. Lu Yuxin Chen 21 416 0 25 Sep 2018
Pursuit of Low-Rank Models of Time-Varying Matrices Robust to Sparse and Measurement Noise A. Akhriev Jakub Mareˇcek Andrea Simonetto 15 8 0 10 Sep 2018
Streaming PCA and Subspace Tracking: The Missing Data Case Laura Balzano Yuejie Chi Yue M. Lu 13 82 0 12 Jun 2018
Mixed-Integer Convex Nonlinear Optimization with Gradient-Boosted Trees Embedded Miten Mistry Dimitrios Letsios G. Krennrich Robert M. Lee Ruth Misener OffRL 18 50 0 02 Mar 2018
Static and Dynamic Robust PCA and Matrix Completion: A Review Namrata Vaswani Praneeth Narayanamurthy 14 72 0 01 Mar 2018
Panoramic Robust PCA for Foreground-Background Separation on Noisy, Free-Motion Camera Video Brian E. Moore Chen Gao R. Nadakuditi 26 38 0 18 Dec 2017
Provable Dynamic Robust PCA or Robust Subspace Tracking Praneeth Narayanamurthy Namrata Vaswani 9 49 0 24 May 2017
Correlated-PCA: Principal Components' Analysis when Data and Noise are Correlated Namrata Vaswani Han Guo 20 25 0 15 Aug 2016
Learning Robust Low-Rank Representations Pablo Sprechmann A. Bronstein Guillermo Sapiro 37 10 0 27 Sep 2012