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Personalized Tucker Decomposition: Modeling Commonality and Peculiarity on Tensor Data

Personalized Tucker Decomposition: Modeling Commonality and Peculiarity on Tensor Data

Jiuyun Hu
Naichen Shi
Raed Al Kontar
Hao Yan
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Papers citing "Personalized Tucker Decomposition: Modeling Commonality and Peculiarity on Tensor Data"

3 / 3 papers shown
Title
The Internet of Federated Things (IoFT): A Vision for the Future and In-depth Survey of Data-driven Approaches for Federated Learning
The Internet of Federated Things (IoFT): A Vision for the Future and In-depth Survey of Data-driven Approaches for Federated Learning
Raed Al Kontar
Naichen Shi
Xubo Yue
Seokhyun Chung
E. Byon
...
C. Okwudire
Garvesh Raskutti
R. Saigal
Karandeep Singh
Ye Zhisheng
FedML
30
50
0
09 Nov 2021
Deep Spatio-temporal Sparse Decomposition for Trend Prediction and Anomaly Detection in Cardiac Electrical Conduction
Deep Spatio-temporal Sparse Decomposition for Trend Prediction and Anomaly Detection in Cardiac Electrical Conduction
Xinyu Zhao
Hao Yan
Zhiyong Hu
D. Du
21
12
0
20 Sep 2021
Tensor Robust Principal Component Analysis with A New Tensor Nuclear Norm
Tensor Robust Principal Component Analysis with A New Tensor Nuclear Norm
Canyi Lu
Jiashi Feng
Yudong Chen
W. Liu
Zhouchen Lin
Shuicheng Yan
52
736
0
10 Apr 2018