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Chinese Academy of Sciences Institutional Repositories Grid
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自动化研究所 [7]
数学与系统科学研究院 [5]
沈阳自动化研究所 [4]
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期刊论文 [27]
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Nonconvex Nonlocal Tucker Decomposition for 3D Medical Image Super-Resolution
期刊论文
OAI收割
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:31/0
  |  
提交时间:2022/05/29
3D super-resolution
3D total variation
low rank tensor decomposition
medical image
nonlocal self-similarity
A Multispectral Denoising Framework for Seismic Random Noise Attenuation
期刊论文
OAI收割
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2022, 卷号: 60, 页码: 17
作者:
Lin, Yi
;
Zhang, Jinhai
  |  
收藏
  |  
浏览/下载:56/0
  |  
提交时间:2022/07/04
Tensors
Noise measurement
Noise reduction
Transforms
Attenuation
Time-frequency analysis
Matrix decomposition
3-D tensor
low rank
multispectral denoising framework (MDF)
random noise attenuation
seismic data processing
Low-Rank High-Order Tensor Completion With Applications in Visual Data
期刊论文
OAI收割
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2022, 卷号: 31, 页码: 2433-2448
作者:
Qin, Wenjin
;
Wang, Hailin
;
Zhang, Feng
;
Wang, Jianjun
;
Luo, Xin
  |  
收藏
  |  
浏览/下载:46/0
  |  
提交时间:2022/08/22
Low-rank order-d tensor completion
order-d tensor singular value decomposition
invertible linear transforms
convex optimization
sparsity measure
Tensor-Based Reliable Multiview Similarity Learning for Robust Spectral Clustering on Uncertain Data
期刊论文
OAI收割
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
  |  
收藏
  |  
浏览/下载:60/0
  |  
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
Learning-based Tensor Decomposition with Adaptive Rank Penalty for CNNs Compression
会议论文
OAI收割
Tokyo, Japan (online), September 8-10, 2021
作者:
Deli, Yu
;
Peipei, Yang
;
Cheng-Lin, Liu
  |  
收藏
  |  
浏览/下载:100/0
  |  
提交时间:2021/07/01
low-rank decomposition
network compression
learning-based decomposition
adaptive rank penalty
Accelerating patch-based low-rank image restoration using kd-forest and Lanczos approximation
期刊论文
OAI收割
Information Sciences, 2021, 卷号: 556, 页码: 177-193
作者:
Guo, Qiang
;
Zhang, Yongxia
;
Qiu, Shi
;
Zhang, Caiming
  |  
收藏
  |  
浏览/下载:34/0
  |  
提交时间:2021/02/02
Image restoration
Low-rank approximation
Singular value decomposition
Kd-tree
Lanczos bidiagonalization
Group-Sparse SVD Models via L-1- and L-0-norm Penalties and their Applications in Biological Data
期刊论文
OAI收割
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, 2021, 卷号: 33, 期号: 2, 页码: 536-550
作者:
Min, Wenwen
;
Liu, Juan
;
Zhang, Shihua
  |  
收藏
  |  
浏览/下载:34/0
  |  
提交时间:2021/04/26
Sparse SVD
low-rank matrix decomposition
group-sparse penalty
overlapping group-sparse penalty
coordinate descent method
alternating direction method of multipliers (ADMM)
data mining
Accurate and robust feature description and dense point-wise matching based on feature fusion for endoscopic images
期刊论文
OAI收割
Computerized Medical Imaging and Graphics, 2021, 卷号: 94, 页码: 1-17
作者:
Li RY(李冉阳)
;
Pan JJ(潘俊君)
;
Yang YM(杨永明)
;
Wei, Nan
;
Yan B(闫斌)
  |  
收藏
  |  
浏览/下载:47/0
  |  
提交时间:2021/11/18
Contour description
Dense feature detection
Feature description
Low-rank analysis
Point-wise feature matching
RPCA decomposition
AN ALTERNATING MINIMIZATION METHOD FOR MATRIX COMPLETION PROBLEMS
期刊论文
OAI收割
DISCRETE AND CONTINUOUS DYNAMICAL SYSTEMS-SERIES S, 2020, 卷号: 13, 期号: 6, 页码: 1757-1772
作者:
Shen, Yuan
;
Liu, Xin
  |  
收藏
  |  
浏览/下载:16/0
  |  
提交时间:2020/05/24
Matrix completion
symmetric low rank product minimization
singular value decomposition
alternating minimization
EDP: An Efficient Decomposition and Pruning Scheme for Convolutional Neural Network Compression
期刊论文
OAI收割
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2020, 期号: 0, 页码: 0
作者:
Ruan, Xiaofeng
;
Liu, Yufan
;
Yuan, Chunfeng
;
Li, Bing
;
Hu, Weiming
  |  
收藏
  |  
浏览/下载:74/0
  |  
提交时间:2021/06/17
Data-driven
low-rank decomposition
model compression and acceleration
structured pruning