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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
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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-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
Accelerating patch-based low-rank image restoration using kd-forest and Lanczos approximation
期刊论文
Information Sciences, 2021, 卷号: 556, 页码: 177-193
作者:
Guo, Qiang
;
Zhang, Yongxia
;
Qiu, Shi
;
Zhang, Caiming
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  |  
浏览/下载:25/0
  |  
提交时间:2021/02/02
Image restoration
Low-rank approximation
Singular value decomposition
Kd-tree
Lanczos bidiagonalization
Iterative Low-rank Approximation Based on the Redundancy of Each Network Layer
会议论文
Xian, PEOPLES R CHINA, NOV 13-15, 2020
作者:
Yang, Fan
;
Liu, Weirong
;
Liu, Jie
;
Liu, Chaorong
;
Mi, Yanchun
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  |  
浏览/下载:3/0
  |  
提交时间:2021/12/17
Priority compression
iterative compression
low-rank approximation
DNN
Modeling the Parameter Interactions in Ranking SVM with Low-Rank Approximation
期刊论文
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, 2019, 卷号: 31, 期号: 6, 页码: 1181-1193
作者:
Guo, Jiafeng
;
Cheng, Xueqi
;
Lan, Yanyan
;
Zeng, Wei
;
Xu, Jun
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  |  
浏览/下载:43/0
  |  
提交时间:2019/08/16
Learning to rank
ranking SVM
parameter interactions
low-rank approximation
A new nonconvex approach to low-rank matrix completion with application to image inpainting
期刊论文
Multidimensional Systems and Signal Processing, 2019, 卷号: 30, 页码: 145-174
作者:
Yu, Yongchao
;
Peng, Jigen
;
Yue, Shigang
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  |  
浏览/下载:9/0
  |  
提交时间:2019/11/19
Alternating minimization
Alternating minimization algorithms
Approximation problems
Convex optimization algorithms
Image Inpainting
Low-rank matrix completions
Moreau envelope
Nuclear norm minimizations
Weighted Tensor Rank-1 Decomposition for Nonlocal Image Denoising
期刊论文
IEEE Transactions on Image Processing, 2019, 卷号: Vol.28 No.6, 页码: 2719-2730
作者:
Yue Wu
;
Leyuan Fang
;
Shutao Li
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  |  
浏览/下载:11/0
  |  
提交时间:2019/12/13
Noise reduction
Matrix decomposition
Image denoising
Noise measurement
Computational modeling
Approximation algorithms
Image denoising
tensor decomposition
nonlocal similarity
low-rank approximation
Weighted Tensor Rank-1 Decomposition for Nonlocal Image Denoising.
期刊论文
IEEE Transactions on Image Processing, 2019, 卷号: Vol.28 No.6, 页码: 2719-2730
作者:
Wu, Yue
;
Fang, Leyuan
;
Li, Shutao
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  |  
浏览/下载:8/0
  |  
提交时间:2019/12/13
Approximation algorithms
Computational modeling
Image denoising
low-rank approximation
Matrix decomposition
Noise measurement
Noise reduction
nonlocal similarity
tensor decomposition
Medical image resolution enhancement for healthcare using nonlocal self-similarity and low-rank prior
期刊论文
MULTIMEDIA TOOLS AND APPLICATIONS, 2019, 卷号: 78, 期号: 7, 页码: 9033-9050
作者:
Liu, Hui
;
Guo, Qiang
;
Wang, Guangli
;
Gupta, B. B.
;
Zhang, Caiming
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  |  
浏览/下载:11/0
  |  
提交时间:2019/12/11
Resolution enhancement
Low rank approximation
Minimum variance
estimation
Nonlocal self-similarity
Healthcare
Weighted Tensor Rank-1 Decomposition for Nonlocal Image Denoising
期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2019, 卷号: Vol.28 No.6, 页码: 2719-2730
作者:
Wu, Y
;
Fang, LY
;
Li, ST
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  |  
浏览/下载:4/0
  |  
提交时间:2019/12/17
Image denoising
tensor decomposition
nonlocal similarity
low-rank approximation
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