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

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

5 / 5 papers shown
Title
Structured Low-Rank Tensors for Generalized Linear Models
Structured Low-Rank Tensors for Generalized Linear Models
Batoul Taki
Anand D. Sarwate
W. Bajwa
26
2
0
05 Aug 2023
Under-Counted Tensor Completion with Neural Incorporation of Attributes
Under-Counted Tensor Completion with Neural Incorporation of Attributes
Shahana Ibrahim
Xiao Fu
R. Hutchinson
Eugene Seo
38
1
0
05 Jun 2023
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
16
0
0
24 Nov 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
26
47
0
01 May 2021
Tensor Decomposition for Signal Processing and Machine Learning
Tensor Decomposition for Signal Processing and Machine Learning
N. Sidiropoulos
L. De Lathauwer
Xiao Fu
Kejun Huang
Evangelos E. Papalexakis
Christos Faloutsos
117
1,345
0
06 Jul 2016
1