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DuSK: A Dual Structure-preserving Kernel for Supervised Tensor Learning
  with Applications to Neuroimages
v1v2 (latest)

DuSK: A Dual Structure-preserving Kernel for Supervised Tensor Learning with Applications to Neuroimages

SDM (SDM), 2014
31 July 2014
Lifang He
Xiangnan Kong
Philip S. Yu
A. Ragin
Zijian Li
Xiaowei Yang
ArXiv (abs)PDFHTML

Papers citing "DuSK: A Dual Structure-preserving Kernel for Supervised Tensor Learning with Applications to Neuroimages"

21 / 21 papers shown
Structure-Preserving Margin Distribution Learning for High-Order Tensor Data with Low-Rank Decomposition
Structure-Preserving Margin Distribution Learning for High-Order Tensor Data with Low-Rank Decomposition
Yang Xu
Junpeng Li
Changchun Hua
Yana Yang
MQ
117
0
0
18 Sep 2025
A weighted subspace exponential kernel for support tensor machines
A weighted subspace exponential kernel for support tensor machines
Kirandeep Kour
S. Dolgov
P. Benner
Martin Stoll
Max Pfeffer
82
2
0
16 Feb 2023
Coupled Support Tensor Machine Classification for Multimodal
  Neuroimaging Data
Coupled Support Tensor Machine Classification for Multimodal Neuroimaging DataStatistical analysis and data mining (SADM), 2022
L. Peide
Seyyid Emre Sofuoglu
T. Maiti
Selin Aviyente
200
5
0
19 Jan 2022
Structure-Preserving Graph Kernel for Brain Network Classification
Structure-Preserving Graph Kernel for Brain Network ClassificationIEEE International Symposium on Biomedical Imaging (ISBI), 2021
Jun Yu
Zhaoming Kong
Aditya Kendre
Hao Peng
Carl Yang
Lichao Sun
Alex Leow
Lifang He
103
1
0
21 Nov 2021
MLCTR: A Fast Scalable Coupled Tensor Completion Based on Multi-Layer
  Non-Linear Matrix Factorization
MLCTR: A Fast Scalable Coupled Tensor Completion Based on Multi-Layer Non-Linear Matrix Factorization
Ajim Uddin
D. Zhou
Xinyuan Tao
Chia-Ching Chou
Dantong Yu
148
0
0
04 Sep 2021
Tensor Methods in Computer Vision and Deep Learning
Tensor Methods in Computer Vision and Deep LearningProceedings of the IEEE (Proc. IEEE), 2021
Yannis Panagakis
Jean Kossaifi
Grigorios G. Chrysos
James Oldfield
M. Nicolaou
Anima Anandkumar
Stefanos Zafeiriou
289
166
0
07 Jul 2021
TEC: Tensor Ensemble Classifier for Big Data
TEC: Tensor Ensemble Classifier for Big Data
Peide Li
Rejaul Karim
T. Maiti
84
1
0
26 Feb 2021
Kernelized Support Tensor Train Machines
Kernelized Support Tensor Train MachinesPattern Recognition (Pattern Recognit.), 2020
Cong Chen
Kim Batselier
Wenjian Yu
Ngai Wong
288
34
0
02 Jan 2020
A literature survey of matrix methods for data science
A literature survey of matrix methods for data scienceGAMM-Mitteilungen (GAMM), 2019
Martin Stoll
328
22
0
17 Dec 2019
Multi-Branch Tensor Network Structure for Tensor-Train Discriminant
  Analysis
Multi-Branch Tensor Network Structure for Tensor-Train Discriminant Analysis
Seyyid Emre Sofuoglu
Selin Aviyente
208
10
0
15 Apr 2019
Joint Embedding of Meta-Path and Meta-Graph for Heterogeneous
  Information Networks
Joint Embedding of Meta-Path and Meta-Graph for Heterogeneous Information Networks
Lichao Sun
Lifang He
Zhipeng Huang
Bokai Cao
Congying Xia
Xiaokai Wei
Philip S. Yu
GNN
153
35
0
11 Sep 2018
Multi-distance Support Matrix Machines
Multi-distance Support Matrix MachinesPattern Recognition Letters (PR), 2018
Yunfei Ye
D. Han
208
7
0
02 Jul 2018
Multi-View Multi-Graph Embedding for Brain Network Clustering Analysis
Multi-View Multi-Graph Embedding for Brain Network Clustering Analysis
Ye Liu
Lifang He
Bokai Cao
Philip S. Yu
A. Ragin
Alex Leow
224
56
0
19 Jun 2018
Broad Learning for Healthcare
Broad Learning for Healthcare
Bokai Cao
130
0
0
23 Mar 2018
Contaminant Removal for Android Malware Detection Systems
Contaminant Removal for Android Malware Detection Systems
Lichao Sun
Xiaokai Wei
Jiawei Zhang
Lifang He
Philip S. Yu
W. Srisa-an
AAML
177
13
0
07 Nov 2017
Sequential Keystroke Behavioral Biometrics for Mobile User
  Identification via Multi-view Deep Learning
Sequential Keystroke Behavioral Biometrics for Mobile User Identification via Multi-view Deep Learning
Lichao Sun
Yuqi Wang
Bokai Cao
Philip S. Yu
W. Srisa-an
Alex Leow
HAI
131
46
0
07 Nov 2017
A Nonlinear Kernel Support Matrix Machine for Matrix Learning
A Nonlinear Kernel Support Matrix Machine for Matrix Learning
Yunfei Ye
235
8
0
20 Jul 2017
The Matrix Hilbert Space and Its Application to Matrix Learning
The Matrix Hilbert Space and Its Application to Matrix Learning
Yunfei Ye
61
3
0
25 Jun 2017
Learning from Multi-View Multi-Way Data via Structural Factorization
  Machines
Learning from Multi-View Multi-Way Data via Structural Factorization Machines
Chun-Ta Lu
Lifang He
Hao Ding
Bokai Cao
Philip S. Yu
239
16
0
10 Apr 2017
A review of heterogeneous data mining for brain disorders
A review of heterogeneous data mining for brain disordersBrain Informatics (BI), 2015
Bokai Cao
Xiangnan Kong
Philip S. Yu
106
24
0
05 Aug 2015
Automatic Unsupervised Tensor Mining with Quality Assessment
Automatic Unsupervised Tensor Mining with Quality Assessment
Evangelos E. Papalexakis
141
57
0
11 Mar 2015
1
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