ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1607.01668
  4. Cited By
Tensor Decomposition for Signal Processing and Machine Learning

Tensor Decomposition for Signal Processing and Machine Learning

6 July 2016
N. Sidiropoulos
L. De Lathauwer
Xiao Fu
Kejun Huang
Evangelos E. Papalexakis
Christos Faloutsos
ArXivPDFHTML

Papers citing "Tensor Decomposition for Signal Processing and Machine Learning"

50 / 286 papers shown
Title
A High-Performance Sparse Tensor Algebra Compiler in Multi-Level IR
A High-Performance Sparse Tensor Algebra Compiler in Multi-Level IR
Ruiqin Tian
Luanzheng Guo
Jiajia Li
Bin Ren
Gokcen Kestor
6
17
0
09 Feb 2021
LightSpeech: Lightweight and Fast Text to Speech with Neural
  Architecture Search
LightSpeech: Lightweight and Fast Text to Speech with Neural Architecture Search
Renqian Luo
Xu Tan
Rui Wang
Tao Qin
Jinzhu Li
Sheng Zhao
Enhong Chen
Tie-Yan Liu
22
58
0
08 Feb 2021
Harnessing Tensor Structures -- Multi-Mode Reservoir Computing and Its
  Application in Massive MIMO
Harnessing Tensor Structures -- Multi-Mode Reservoir Computing and Its Application in Massive MIMO
Zhou Zhou
Lingjia Liu
Jiarui Xu
20
8
0
25 Jan 2021
Tensor-Train Networks for Learning Predictive Modeling of
  Multidimensional Data
Tensor-Train Networks for Learning Predictive Modeling of Multidimensional Data
M. N. D. Costa
R. Attux
A. Cichocki
J. Romano
9
3
0
22 Jan 2021
Aesthetics, Personalization and Recommendation: A survey on Deep
  Learning in Fashion
Aesthetics, Personalization and Recommendation: A survey on Deep Learning in Fashion
Wei Gong
L. Khalid
14
9
0
20 Jan 2021
Signal Processing on Higher-Order Networks: Livin' on the Edge ... and
  Beyond
Signal Processing on Higher-Order Networks: Livin' on the Edge ... and Beyond
Michael T. Schaub
Yu Zhu
Jean-Baptiste Seby
T. Roddenberry
Santiago Segarra
126
146
0
14 Jan 2021
Block-Term Tensor Decomposition Model Selection and Computation: The
  Bayesian Way
Block-Term Tensor Decomposition Model Selection and Computation: The Bayesian Way
Paris V. Giampouras
A. Rontogiannis
Eleftherios Kofidis
43
17
0
08 Jan 2021
Protecting Big Data Privacy Using Randomized Tensor Network
  Decomposition and Dispersed Tensor Computation
Protecting Big Data Privacy Using Randomized Tensor Network Decomposition and Dispersed Tensor Computation
Jenn-Bing Ong
W. Ng
Ivan Tjuawinata
Chao Li
Jielin Yang
Sai None Myne
Huaxiong Wang
K. Lam
C.-C. Jay Kuo
FedML
46
3
0
04 Jan 2021
Power Iteration for Tensor PCA
Power Iteration for Tensor PCA
Jiaoyang Huang
Daniel Zhengyu Huang
Qing Yang
Guang Cheng
29
18
0
26 Dec 2020
Alternating linear scheme in a Bayesian framework for low-rank tensor
  approximation
Alternating linear scheme in a Bayesian framework for low-rank tensor approximation
Clara Menzen
Manon Kok
Kim Batselier
11
5
0
21 Dec 2020
Spectral Methods for Data Science: A Statistical Perspective
Spectral Methods for Data Science: A Statistical Perspective
Yuxin Chen
Yuejie Chi
Jianqing Fan
Cong Ma
42
165
0
15 Dec 2020
STELAR: Spatio-temporal Tensor Factorization with Latent Epidemiological
  Regularization
STELAR: Spatio-temporal Tensor Factorization with Latent Epidemiological Regularization
Nikos Kargas
Cheng Qian
N. Sidiropoulos
Cao Xiao
Lucas Glass
Jimeng Sun
12
16
0
08 Dec 2020
Several Approximation Algorithms for Sparse Best Rank-1 Approximation to
  Higher-Order Tensors
Several Approximation Algorithms for Sparse Best Rank-1 Approximation to Higher-Order Tensors
Xianpeng Mao
Yuning Yang
33
4
0
05 Dec 2020
Hurricane Forecasting: A Novel Multimodal Machine Learning Framework
Hurricane Forecasting: A Novel Multimodal Machine Learning Framework
L. Boussioux
C. Zeng
Théo Guénais
Dimitris Bertsimas
16
38
0
11 Nov 2020
GAGE: Geometry Preserving Attributed Graph Embeddings
GAGE: Geometry Preserving Attributed Graph Embeddings
Charilaos I. Kanatsoulis
N. Sidiropoulos
22
2
0
03 Nov 2020
Information-theoretic Feature Selection via Tensor Decomposition and
  Submodularity
Information-theoretic Feature Selection via Tensor Decomposition and Submodularity
Magda Amiridi
Nikos Kargas
N. Sidiropoulos
6
5
0
30 Oct 2020
Tensor Completion via Tensor Networks with a Tucker Wrapper
Tensor Completion via Tensor Networks with a Tucker Wrapper
Yunfeng Cai
P. Li
3DV
15
1
0
29 Oct 2020
Efficient parallel CP decomposition with pairwise perturbation and
  multi-sweep dimension tree
Efficient parallel CP decomposition with pairwise perturbation and multi-sweep dimension tree
Linjian Ma
Edgar Solomonik
25
8
0
22 Oct 2020
Robust Low-tubal-rank Tensor Completion based on Tensor Factorization
  and Maximum Correntopy Criterion
Robust Low-tubal-rank Tensor Completion based on Tensor Factorization and Maximum Correntopy Criterion
Yicong He
George Atia
11
7
0
22 Oct 2020
TeX-Graph: Coupled tensor-matrix knowledge-graph embedding for COVID-19
  drug repurposing
TeX-Graph: Coupled tensor-matrix knowledge-graph embedding for COVID-19 drug repurposing
Charilaos I. Kanatsoulis
N. Sidiropoulos
33
8
0
22 Oct 2020
A study of the Multicriteria decision analysis based on the time-series
  features and a TOPSIS method proposal for a tensorial approach
A study of the Multicriteria decision analysis based on the time-series features and a TOPSIS method proposal for a tensorial approach
B. S. Campello
L. Duarte
João Marcos Travassos Romano
6
0
0
21 Oct 2020
Concurrent Alternating Least Squares for multiple simultaneous Canonical
  Polyadic Decompositions
Concurrent Alternating Least Squares for multiple simultaneous Canonical Polyadic Decompositions
C. Psarras
L. Karlsson
R. Bro
Paolo Bientinesi
23
5
0
09 Oct 2020
Deep matrix factorizations
Deep matrix factorizations
Pierre De Handschutter
Nicolas Gillis
Xavier Siebert
BDL
28
40
0
01 Oct 2020
Low-Rank and Sparse Enhanced Tucker Decomposition for Tensor Completion
Low-Rank and Sparse Enhanced Tucker Decomposition for Tensor Completion
Chenjian Pan
C. Ling
Hongjin He
L. Qi
Yanwei Xu
19
7
0
01 Oct 2020
Multilinear Latent Conditioning for Generating Unseen Attribute
  Combinations
Multilinear Latent Conditioning for Generating Unseen Attribute Combinations
Markos Georgopoulos
Grigorios G. Chrysos
M. Pantic
Yannis Panagakis
GAN
DRL
19
19
0
09 Sep 2020
On characteristic rank for matrix and tensor completion
On characteristic rank for matrix and tensor completion
A. Shapiro
Yao Xie
Rui Zhang
4
0
0
03 Sep 2020
Low-rank Characteristic Tensor Density Estimation Part I: Foundations
Low-rank Characteristic Tensor Density Estimation Part I: Foundations
Magda Amiridi
Nikos Kargas
N. Sidiropoulos
19
19
0
27 Aug 2020
Adaptive Learning of Tensor Network Structures
Adaptive Learning of Tensor Network Structures
Meraj Hashemizadeh
M. Liu
Jacob Miller
Guillaume Rabusseau
14
8
0
12 Aug 2020
A Sharp Blockwise Tensor Perturbation Bound for Orthogonal Iteration
A Sharp Blockwise Tensor Perturbation Bound for Orthogonal Iteration
Yuetian Luo
Garvesh Raskutti
M. Yuan
Anru R. Zhang
40
10
0
06 Aug 2020
Robust Tensor Principal Component Analysis: Exact Recovery via
  Deterministic Model
Robust Tensor Principal Component Analysis: Exact Recovery via Deterministic Model
Bo Shen
Zhenyu
Z. Kong
8
3
0
05 Aug 2020
Nonnegative Low Rank Tensor Approximation and its Application to
  Multi-dimensional Images
Nonnegative Low Rank Tensor Approximation and its Application to Multi-dimensional Images
Tai-Xiang Jiang
Michael K. Ng
Junjun Pan
Guang-Jing Song
14
3
0
28 Jul 2020
Randomized Online CP Decomposition
Randomized Online CP Decomposition
Congbo Ma
Xiaowei Yang
Hu Wang
6
11
0
21 Jul 2020
Sparse Nonnegative Tensor Factorization and Completion with Noisy
  Observations
Sparse Nonnegative Tensor Factorization and Completion with Noisy Observations
Xiongjun Zhang
Michael K. Ng
19
13
0
21 Jul 2020
From Symmetry to Geometry: Tractable Nonconvex Problems
From Symmetry to Geometry: Tractable Nonconvex Problems
Yuqian Zhang
Qing Qu
John N. Wright
34
43
0
14 Jul 2020
Recovering Joint Probability of Discrete Random Variables from Pairwise
  Marginals
Recovering Joint Probability of Discrete Random Variables from Pairwise Marginals
Shahana Ibrahim
Xiao Fu
15
13
0
30 Jun 2020
Provable Online CP/PARAFAC Decomposition of a Structured Tensor via
  Dictionary Learning
Provable Online CP/PARAFAC Decomposition of a Structured Tensor via Dictionary Learning
Sirisha Rambhatla
Xingguo Li
Jarvis Haupt
8
13
0
30 Jun 2020
Deep Polynomial Neural Networks
Deep Polynomial Neural Networks
Grigorios G. Chrysos
Stylianos Moschoglou
Giorgos Bouritsas
Jiankang Deng
Yannis Panagakis
S. Zafeiriou
29
92
0
20 Jun 2020
Uncertainty quantification for nonconvex tensor completion: Confidence
  intervals, heteroscedasticity and optimality
Uncertainty quantification for nonconvex tensor completion: Confidence intervals, heteroscedasticity and optimality
Changxiao Cai
H. Vincent Poor
Yuxin Chen
13
23
0
15 Jun 2020
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
Xiao Fu
Nico Vervliet
L. De Lathauwer
Kejun Huang
Nicolas Gillis
CML
15
20
0
15 Jun 2020
AdaS: Adaptive Scheduling of Stochastic Gradients
AdaS: Adaptive Scheduling of Stochastic Gradients
Mahdi S. Hosseini
Konstantinos N. Plataniotis
ODL
23
12
0
11 Jun 2020
Nonlinear Higher-Order Label Spreading
Nonlinear Higher-Order Label Spreading
Francesco Tudisco
Austin R. Benson
Konstantin Prokopchik
33
32
0
08 Jun 2020
Schrödinger PCA: On the Duality between Principal Component Analysis
  and Schrödinger Equation
Schrödinger PCA: On the Duality between Principal Component Analysis and Schrödinger Equation
Ziming Liu
Sitian Qian
Yixuan Wang
Yuxuan Yan
Tianyi Yang
12
3
0
08 Jun 2020
Streaming Coresets for Symmetric Tensor Factorization
Streaming Coresets for Symmetric Tensor Factorization
Rachit Chhaya
Jayesh Choudhari
A. Dasgupta
Supratim Shit
26
14
0
01 Jun 2020
Early soft and flexible fusion of EEG and fMRI via tensor decompositions
Early soft and flexible fusion of EEG and fMRI via tensor decompositions
Christos Chatzichristos
Eleftherios Kofidis
L. De Lathauwer
Sergios Theodoridis
Sabine Van Huffel
18
9
0
12 May 2020
Tensor train rank minimization with nonlocal self-similarity for tensor
  completion
Tensor train rank minimization with nonlocal self-similarity for tensor completion
Meng Ding
Tingzhu Huang
Xile Zhao
Michael K. Ng
Tian-Hui Ma
ViT
17
25
0
29 Apr 2020
Augmenting interictal mapping with neurovascular coupling biomarkers by
  structured factorization of epileptic EEG and fMRI data
Augmenting interictal mapping with neurovascular coupling biomarkers by structured factorization of epileptic EEG and fMRI data
Simon Van Eyndhoven
P. Dupont
S. Tousseyn
Nico Vervliet
W. Paesschen
Sabine Van Huffel
B. Hunyadi
18
20
0
29 Apr 2020
Network Anomaly Detection based on Tensor Decomposition
Network Anomaly Detection based on Tensor Decomposition
A. Streit
Gustavo H. A. Santos
R. M. Leão
E. D. S. E. Silva
Daniel S. Menasché
Don Towsley
25
14
0
20 Apr 2020
Spectral Learning on Matrices and Tensors
Spectral Learning on Matrices and Tensors
Majid Janzamin
Rong Ge
Jean Kossaifi
Anima Anandkumar
16
40
0
16 Apr 2020
Model-Free State Estimation Using Low-Rank Canonical Polyadic
  Decomposition
Model-Free State Estimation Using Low-Rank Canonical Polyadic Decomposition
Ahmed S. Zamzam
Yajing Liu
A. Bernstein
49
12
0
13 Apr 2020
Efficient Alternating Least Squares Algorithms for Low Multilinear Rank
  Approximation of Tensors
Efficient Alternating Least Squares Algorithms for Low Multilinear Rank Approximation of Tensors
Chuanfu Xiao
Chao Yang
Min Li
6
2
0
06 Apr 2020
Previous
123456
Next