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. 1904.07497
  4. Cited By
RES-PCA: A Scalable Approach to Recovering Low-rank Matrices

RES-PCA: A Scalable Approach to Recovering Low-rank Matrices

16 April 2019
Chong Peng
Chenglizhao Chen
Zhao Kang
Jianbo Li
Q. Cheng
ArXivPDFHTML

Papers citing "RES-PCA: A Scalable Approach to Recovering Low-rank Matrices"

2 / 2 papers shown
Title
Knowing Depth Quality In Advance: A Depth Quality Assessment Method For
  RGB-D Salient Object Detection
Knowing Depth Quality In Advance: A Depth Quality Assessment Method For RGB-D Salient Object Detection
Xuehao Wang
Shuai Li
Chenglizhao Chen
Aimin Hao
Hong Qin
3DH
24
4
0
07 Aug 2020
Nonnegative Matrix Factorization with Local Similarity Learning
Nonnegative Matrix Factorization with Local Similarity Learning
Chong Peng
Zhao Kang
Chenglizhao Chen
Q. Cheng
30
47
0
09 Jul 2019
1