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Linear convergence of an alternating polar decomposition method for low rank orthogonal tensor approximations
期刊论文
MATHEMATICAL PROGRAMMING, 2022, 页码: 60
作者:
Hu, Shenglong
;
Ye, Ke
收藏
  |  
浏览/下载:5/0
  |  
提交时间:2023/02/07
Orthogonally decomposable tensors
Low rank orthogonal tensor approximation
R-linear convergence
Sublinear convergence
Global convergence
Tensor Decomposition-Inspired Convolutional Autoencoders for Hyperspectral Anomaly Detection
期刊论文
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2022, 卷号: 15, 页码: 4990-5000
作者:
Sun, Bangyong
;
Zhao, Zhe
;
Liu, Di
;
Gao, Xiaomei
;
Yu, Tao
收藏
  |  
浏览/下载:20/0
  |  
提交时间:2022/08/16
Anomaly detection
Hyperspectral imaging
Tensors
Detectors
Feature extraction
Training
Neural networks
Anomaly detection
hyperspectral image (HSI)
tensor decomposition network
Nonconvex Nonlocal Tucker Decomposition for 3D Medical Image Super-Resolution
期刊论文
Frontiers in Neuroinformatics, 2022, 卷号: 16, 页码: 1-12
作者:
Jia HD(贾慧迪)
;
Chen XA(陈希爱)
;
Han Z(韩志)
;
Liu BC(刘柏辰)
;
Wen, Tianhui
收藏
  |  
浏览/下载:18/0
  |  
提交时间:2022/05/29
3D super-resolution
3D total variation
low rank tensor decomposition
medical image
nonlocal self-similarity
Tensor-Based Reliable Multiview Similarity Learning for Robust Spectral Clustering on Uncertain Data
期刊论文
IEEE TRANSACTIONS ON RELIABILITY, 2021, 卷号: 70, 期号: 3, 页码: 916-930
作者:
Li, Ao
;
Chen, Jiajia
;
Chen, Deyun
;
Yu, Xiaoyang
;
Yuan, Mengke
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  |  
浏览/下载:34/0
  |  
提交时间:2021/11/03
Tensors
Matrix decomposition
Adaptation models
Data models
Probabilistic logic
Learning systems
Image reconstruction
Low-rank approximation
multiview clustering
similarity learning
tensor analysis
Constrained Tensor Representation Learning for Multi-View Semi-Supervised Subspace Clustering
期刊论文
IEEE Transactions on Multimedia, 2021, 卷号: 0, 期号: 0, 页码: 0
作者:
Yongqiang, Tang
;
Yuan, Xie
;
Chenyang, Zhang
;
Wensheng, Zhang
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  |  
浏览/下载:25/0
  |  
提交时间:2022/04/01
Multi-view learning
pairwise constraint
semi-supervised clustering
subspace learning
tensor singular value decomposition (t-SVD)
Learning-based Tensor Decomposition with Adaptive Rank Penalty for CNNs Compression
会议论文
Tokyo, Japan (online), September 8-10, 2021
作者:
Deli, Yu
;
Peipei, Yang
;
Cheng-Lin, Liu
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  |  
浏览/下载:109/0
  |  
提交时间:2021/07/01
low-rank decomposition
network compression
learning-based decomposition
adaptive rank penalty
Robust Kernelized Multiview Self-Representation for Subspace Clustering
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 卷号: 32, 期号: 2, 页码: 868-881
作者:
Xie, Yuan
;
Liu, Jinyan
;
Qu, Yanyun
;
Tao, Dacheng
;
Zhang, Wensheng
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  |  
浏览/下载:49/0
  |  
提交时间:2021/03/29
Tensile stress
Kernel
Manifolds
Optimization
Learning systems
Correlation
Data models
Kernelization
multiview subspace learning
nonlinear subspace clustering
tensor singular value decomposition (t-SVD)
Total variation regularized low-rank tensor decomposition with nonlocal for single image denoising
会议论文
Xining, China, July 15-19, 2021
作者:
Li, Shengchuan
;
Wang YM(王艳美)
;
Luo Q(罗琼)
;
Wang, Kai
;
Han Z(韩志)
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  |  
浏览/下载:29/0
  |  
提交时间:2021/10/03
Hyper-Laplacian Regularized Multilinear Multiview Self-Representations for Clustering and Semisupervised Learning
期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2020, 卷号: 50, 期号: 2, 页码: 572-586
作者:
Xie, Yuan
;
Zhang, Wensheng
;
Qu, Yanyun
;
Dai, Longquan
;
Tao, Dacheng
收藏
  |  
浏览/下载:48/0
  |  
提交时间:2020/03/30
Tensile stress
Manifolds
Encoding
Laplace equations
Semisupervised learning
Correlation
Optimization
Manifold regularization
multilinear
multiview features
nonlinear subspace clustering
tensor singular-value decomposition (t-SVD)
Hyperspectral and Multispectral Image Fusion via Nonlocal Low-Rank Tensor Decomposition and Spectral Unmixing
期刊论文
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2020, 卷号: 58, 期号: 11, 页码: 7654-7671
作者:
Wang, Kaidong
;
Wang Y(王尧)
;
Zhao XL(赵熙乐)
;
Chan, Jonathan Cheung-Wai
;
Xu ZB(徐宗本)
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  |  
浏览/下载:35/0
  |  
提交时间:2020/12/18
Hyperspectral (HS) image
image fusion
nonlocal tensor decomposition
spatial enhancement
spectral unmixing
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