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Minimizing low-rank models of high-order tensors: Hardness, span, tight
  relaxation, and applications
v1v2v3 (latest)

Minimizing low-rank models of high-order tensors: Hardness, span, tight relaxation, and applications

16 October 2022
N. Sidiropoulos
Paris A. Karakasis
Aritra Konar
ArXiv (abs)PDFHTML

Papers citing "Minimizing low-rank models of high-order tensors: Hardness, span, tight relaxation, and applications"

5 / 5 papers shown
Title
Compressing Sign Information in DCT-based Image Coding via Deep Sign
  Retrieval
Compressing Sign Information in DCT-based Image Coding via Deep Sign Retrieval
Kei Suzuki
Chihiro Tsutake
Keita Takahashi
T. Fujii
48
3
0
21 Sep 2022
Tensors, Learning, and 'Kolmogorov Extension' for Finite-alphabet Random
  Vectors
Tensors, Learning, and 'Kolmogorov Extension' for Finite-alphabet Random Vectors
Nikos Kargas
N. Sidiropoulos
Xiao Fu
87
41
0
01 Dec 2017
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
174
1,363
0
06 Jul 2016
Convergence Rate of Frank-Wolfe for Non-Convex Objectives
Convergence Rate of Frank-Wolfe for Non-Convex Objectives
Simon Lacoste-Julien
99
195
0
01 Jul 2016
Tensor Ring Decomposition
Tensor Ring Decomposition
Qibin Zhao
Guoxu Zhou
Shengli Xie
Liqing Zhang
A. Cichocki
83
363
0
17 Jun 2016
1