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Robust Triple-Matrix-Recovery-Based Auto-Weighted Label Propagation for
  Classification

Robust Triple-Matrix-Recovery-Based Auto-Weighted Label Propagation for Classification

20 November 2019
Huan Zhang
Zhao Zhang
Mingbo Zhao
Qiaolin Ye
Min Zhang
Meng Wang
ArXivPDFHTML

Papers citing "Robust Triple-Matrix-Recovery-Based Auto-Weighted Label Propagation for Classification"

3 / 3 papers shown
Title
Interpolation-based Contrastive Learning for Few-Label Semi-Supervised
  Learning
Interpolation-based Contrastive Learning for Few-Label Semi-Supervised Learning
Xihong Yang
Xiaochang Hu
Sihang Zhou
Xinwang Liu
En Zhu
SSL
208
43
0
24 Feb 2022
NRGNN: Learning a Label Noise-Resistant Graph Neural Network on Sparsely
  and Noisily Labeled Graphs
NRGNN: Learning a Label Noise-Resistant Graph Neural Network on Sparsely and Noisily Labeled Graphs
Enyan Dai
Charu C. Aggarwal
Suhang Wang
NoLa
27
114
0
08 Jun 2021
A Survey on Concept Factorization: From Shallow to Deep Representation
  Learning
A Survey on Concept Factorization: From Shallow to Deep Representation Learning
Zhao Zhang
Yan Zhang
Mingliang Xu
Li Zhang
Yi Yang
Shuicheng Yan
24
30
0
31 Jul 2020
1