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

36 / 286 papers shown
Title
Convolutional Neural Networks with Transformed Input based on Robust
  Tensor Network Decomposition
Convolutional Neural Networks with Transformed Input based on Robust Tensor Network Decomposition
Jenn-Bing Ong
W. Ng
C.-C. Jay Kuo
AAML
19
0
0
20 Nov 2018
The core consistency of a compressed tensor
The core consistency of a compressed tensor
Georgios Tsitsikas
Evangelos E. Papalexakis
19
3
0
18 Nov 2018
Low-Rank Tensor Modeling for Hyperspectral Unmixing Accounting for
  Spectral Variability
Low-Rank Tensor Modeling for Hyperspectral Unmixing Accounting for Spectral Variability
Advaith Siddharthan
R. Borsoi
N. A. Murphy
17
45
0
02 Nov 2018
Statistical mechanics of low-rank tensor decomposition
Statistical mechanics of low-rank tensor decomposition
Jonathan Kadmon
Surya Ganguli
14
18
0
23 Oct 2018
Nesterov Acceleration of Alternating Least Squares for Canonical Tensor
  Decomposition: Momentum Step Size Selection and Restart Mechanisms
Nesterov Acceleration of Alternating Least Squares for Canonical Tensor Decomposition: Momentum Step Size Selection and Restart Mechanisms
Drew Mitchell
N. Ye
H. Sterck
ODL
19
27
0
13 Oct 2018
Coupled Graphs and Tensor Factorization for Recommender Systems and
  Community Detection
Coupled Graphs and Tensor Factorization for Recommender Systems and Community Detection
V. Ioannidis
Ahmed S. Zamzam
G. Giannakis
N. Sidiropoulos
11
50
0
22 Sep 2018
Aesthetic-based Clothing Recommendation
Aesthetic-based Clothing Recommendation
Wenhui Yu
Huidi Zhang
Xiangnan He
Xu Chen
Li Xiong
Zheng Qin
11
194
0
16 Sep 2018
Probabilistic PARAFAC2
Probabilistic PARAFAC2
Philip J. H. Jørgensen
S. F. V. Nielsen
Jesper L. Hinrich
Mikkel N. Schmidt
Kristoffer Hougaard Madsen
Morten Mørup
18
6
0
21 Jun 2018
Parallel Nonnegative CP Decomposition of Dense Tensors
Parallel Nonnegative CP Decomposition of Dense Tensors
Grey Ballard
Koby Hayashi
R. Kannan
11
24
0
19 Jun 2018
End-to-end Learning of a Convolutional Neural Network via Deep Tensor
  Decomposition
End-to-end Learning of a Convolutional Neural Network via Deep Tensor Decomposition
Samet Oymak
Mahdi Soltanolkotabi
11
12
0
16 May 2018
Nonlocal Low-Rank Tensor Factor Analysis for Image Restoration
Nonlocal Low-Rank Tensor Factor Analysis for Image Restoration
Xinyuan Zhang
Xin Yuan
Lawrence Carin
6
28
0
19 Mar 2018
Provable Convex Co-clustering of Tensors
Provable Convex Co-clustering of Tensors
Eric C. Chi
Brian R. Gaines
W. Sun
Hua Zhou
Jian Yang
19
44
0
17 Mar 2018
A Low-rank Tensor Regularization Strategy for Hyperspectral Unmixing
A Low-rank Tensor Regularization Strategy for Hyperspectral Unmixing
Tales Imbiriba
R. Borsoi
J. Bermudez
12
23
0
16 Mar 2018
Nonnegative Matrix Factorization for Signal and Data Analytics:
  Identifiability, Algorithms, and Applications
Nonnegative Matrix Factorization for Signal and Data Analytics: Identifiability, Algorithms, and Applications
Xiao Fu
Kejun Huang
N. Sidiropoulos
Wing-Kin Ma
15
200
0
03 Mar 2018
Learning Hidden Markov Models from Pairwise Co-occurrences with
  Application to Topic Modeling
Learning Hidden Markov Models from Pairwise Co-occurrences with Application to Topic Modeling
Kejun Huang
Xiao Fu
N. Sidiropoulos
14
23
0
19 Feb 2018
Blind Multiclass Ensemble Classification
Blind Multiclass Ensemble Classification
Panagiotis A. Traganitis
A. Pagés-Zamora
G. Giannakis
11
24
0
08 Dec 2017
tHoops: A Multi-Aspect Analytical Framework Spatio-Temporal Basketball
  Data
tHoops: A Multi-Aspect Analytical Framework Spatio-Temporal Basketball Data
Evangelos E. Papalexakis
K. Pelechrinis
25
20
0
04 Dec 2017
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
23
41
0
01 Dec 2017
Introduction to Tensor Decompositions and their Applications in Machine
  Learning
Introduction to Tensor Decompositions and their Applications in Machine Learning
Stephan Rabanser
Oleksandr Shchur
Stephan Günnemann
AI4CE
16
205
0
29 Nov 2017
Tensor Completion Algorithms in Big Data Analytics
Tensor Completion Algorithms in Big Data Analytics
Qingquan Song
Hancheng Ge
James Caverlee
Xia Hu
24
228
0
28 Nov 2017
Kullback-Leibler Principal Component for Tensors is not NP-hard
Kullback-Leibler Principal Component for Tensors is not NP-hard
Kejun Huang
N. Sidiropoulos
14
14
0
21 Nov 2017
Tensor Valued Common and Individual Feature Extraction:
  Multi-dimensional Perspective
Tensor Valued Common and Individual Feature Extraction: Multi-dimensional Perspective
I. Kisil
G. G. Calvi
Danilo P. Mandic
12
5
0
01 Nov 2017
The Exact Solution to Rank-1 L1-norm TUCKER2 Decomposition
The Exact Solution to Rank-1 L1-norm TUCKER2 Decomposition
Panos P. Markopoulos
Dimitris G. Chachlakis
Evangelos E. Papalexakis
22
24
0
31 Oct 2017
Effective Tensor Sketching via Sparsification
Effective Tensor Sketching via Sparsification
Dong Xia
M. Yuan
30
6
0
31 Oct 2017
Near Optimal Sketching of Low-Rank Tensor Regression
Near Optimal Sketching of Low-Rank Tensor Regression
Jarvis D. Haupt
Xingguo Li
David P. Woodruff
15
37
0
20 Sep 2017
Shared Memory Parallelization of MTTKRP for Dense Tensors
Shared Memory Parallelization of MTTKRP for Dense Tensors
Koby Hayashi
Grey Ballard
Jeffrey Jiang
Michael J. Tobia
12
1
0
29 Aug 2017
Communication Lower Bounds for Matricized Tensor Times Khatri-Rao
  Product
Communication Lower Bounds for Matricized Tensor Times Khatri-Rao Product
Grey Ballard
Nicholas Knight
Kathryn Rouse
21
31
0
24 Aug 2017
Tensor Regression Networks
Tensor Regression Networks
Jean Kossaifi
Zachary Chase Lipton
Arinbjorn Kolbeinsson
Aran Khanna
Tommaso Furlanello
Anima Anandkumar
3DV
32
145
0
26 Jul 2017
Sample, computation vs storage tradeoffs for classification using tensor
  subspace models
Sample, computation vs storage tradeoffs for classification using tensor subspace models
Mohammadhossein Chaghazardi
Shuchin Aeron
12
4
0
18 Jun 2017
Noisy Tensor Completion for Tensors with a Sparse Canonical Polyadic
  Factor
Noisy Tensor Completion for Tensors with a Sparse Canonical Polyadic Factor
Swayambhoo Jain
Alexander Gutierrez
Jarvis D. Haupt
11
4
0
08 Apr 2017
SPARTan: Scalable PARAFAC2 for Large & Sparse Data
SPARTan: Scalable PARAFAC2 for Large & Sparse Data
Ioakeim Perros
Evangelos E. Papalexakis
Fei Wang
R. Vuduc
Elizabeth Searles
Michael Thompson
Jimeng Sun
13
72
0
13 Mar 2017
Completing a joint PMF from projections: a low-rank coupled tensor
  factorization approach
Completing a joint PMF from projections: a low-rank coupled tensor factorization approach
Nikos Kargas
N. Sidiropoulos
10
13
0
16 Feb 2017
Statistical and computational phase transitions in spiked tensor
  estimation
Statistical and computational phase transitions in spiked tensor estimation
T. Lesieur
Léo Miolane
Marc Lelarge
Florent Krzakala
Lenka Zdeborová
18
115
0
27 Jan 2017
Double Coupled Canonical Polyadic Decomposition for Joint Blind Source
  Separation
Double Coupled Canonical Polyadic Decomposition for Joint Blind Source Separation
Xiaofeng Gong
Qiuhua Lin
F. Cong
L. De Lathauwer
14
40
0
30 Dec 2016
TensorLy: Tensor Learning in Python
TensorLy: Tensor Learning in Python
Jean Kossaifi
Yannis Panagakis
Anima Anandkumar
M. Pantic
13
350
0
29 Oct 2016
Tensor Decompositions for Identifying Directed Graph Topologies and
  Tracking Dynamic Networks
Tensor Decompositions for Identifying Directed Graph Topologies and Tracking Dynamic Networks
Yanning Shen
Brian Baingana
G. Giannakis
22
66
0
26 Oct 2016
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