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DID: Distributed Incremental Block Coordinate Descent for Nonnegative
  Matrix Factorization

DID: Distributed Incremental Block Coordinate Descent for Nonnegative Matrix Factorization

25 February 2018
Tianxiang Gao
C. Chu
ArXiv (abs)PDFHTML

Papers citing "DID: Distributed Incremental Block Coordinate Descent for Nonnegative Matrix Factorization"

2 / 2 papers shown
Leveraging Two Reference Functions in Block Bregman Proximal Gradient
  Descent for Non-convex and Non-Lipschitz Problems
Leveraging Two Reference Functions in Block Bregman Proximal Gradient Descent for Non-convex and Non-Lipschitz Problems
Tianxiang Gao
Songtao Lu
Jia-Wei Liu
C. Chu
189
5
0
16 Dec 2019
Deep Self-representative Concept Factorization Network for
  Representation Learning
Deep Self-representative Concept Factorization Network for Representation LearningSDM (SDM), 2019
Yan Zhang
Zhao Zhang
Zheng Zhang
Mingbo Zhao
Li Zhang
Zhengjun Zha
Meng Wang
318
15
0
13 Dec 2019
1
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