ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1804.06252
  4. Cited By
Weighted Low-Rank Approximation of Matrices and Background Modeling

Weighted Low-Rank Approximation of Matrices and Background Modeling

15 April 2018
Aritra Dutta
Xin Li
Peter Richtárik
ArXiv (abs)PDFHTML

Papers citing "Weighted Low-Rank Approximation of Matrices and Background Modeling"

7 / 7 papers shown
Title
When Can We Solve the Weighted Low Rank Approximation Problem in Truly Subquadratic Time?
When Can We Solve the Weighted Low Rank Approximation Problem in Truly Subquadratic Time?
Chenyang Li
Yingyu Liang
Zhenmei Shi
Zhao Song
74
5
0
24 Feb 2025
Reweighted Solutions for Weighted Low Rank Approximation
Reweighted Solutions for Weighted Low Rank Approximation
David P. Woodruff
T. Yasuda
63
1
0
04 Jun 2024
Weighted Low Rank Matrix Approximation and Acceleration
Weighted Low Rank Matrix Approximation and Acceleration
Elena Tuzhilina
Trevor Hastie
OffRL
61
7
0
22 Sep 2021
Best Pair Formulation & Accelerated Scheme for Non-convex Principal
  Component Pursuit
Best Pair Formulation & Accelerated Scheme for Non-convex Principal Component Pursuit
Aritra Dutta
Filip Hanzely
Jingwei Liang
Peter Richtárik
41
10
0
25 May 2019
Pursuit of Low-Rank Models of Time-Varying Matrices Robust to Sparse and
  Measurement Noise
Pursuit of Low-Rank Models of Time-Varying Matrices Robust to Sparse and Measurement Noise
A. Akhriev
Jakub Mareˇcek
Andrea Simonetto
69
8
0
10 Sep 2018
A Nonconvex Projection Method for Robust PCA
A Nonconvex Projection Method for Robust PCA
Aritra Dutta
Filip Hanzely
Peter Richtárik
58
24
0
21 May 2018
Online and Batch Supervised Background Estimation via L1 Regression
Online and Batch Supervised Background Estimation via L1 Regression
Aritra Dutta
Peter Richtárik
57
8
0
23 Nov 2017
1