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Computing Large-Scale Matrix and Tensor Decomposition with Structured
  Factors: A Unified Nonconvex Optimization Perspective
v1v2 (latest)

Computing Large-Scale Matrix and Tensor Decomposition with Structured Factors: A Unified Nonconvex Optimization Perspective

15 June 2020
Xiao Fu
Nico Vervliet
L. De Lathauwer
Kejun Huang
Nicolas Gillis
    CML
ArXiv (abs)PDFHTML

Papers citing "Computing Large-Scale Matrix and Tensor Decomposition with Structured Factors: A Unified Nonconvex Optimization Perspective"

3 / 3 papers shown
Title
Dictionary-based Low-Rank Approximations and the Mixed Sparse Coding
  problem
Dictionary-based Low-Rank Approximations and the Mixed Sparse Coding problem
Jérémy E. Cohen
45
0
0
24 Nov 2021
Crowdsourcing via Annotator Co-occurrence Imputation and Provable
  Symmetric Nonnegative Matrix Factorization
Crowdsourcing via Annotator Co-occurrence Imputation and Provable Symmetric Nonnegative Matrix Factorization
Shahana Ibrahim
Xiao Fu
55
9
0
14 Jun 2021
Deep Spectrum Cartography: Completing Radio Map Tensors Using Learned
  Neural Models
Deep Spectrum Cartography: Completing Radio Map Tensors Using Learned Neural Models
S. Shrestha
Xiao Fu
Min-Fong Hong
68
52
0
01 May 2021
1