×
验证码:
换一张
Forgotten Password?
Stay signed in
China Science and Technology Network Pass Registration
×
China Science and Technology Network Pass Registration
Log In
Chinese
|
English
中国科学院沈阳自动化研究所机构知识库
Knowledge Management System of Shenyang Institute of Automation, CAS
Log In
Register
ALL
ORCID
Title
Creator
Subject Area
Keyword
Funding Project
Document Type
Source Publication
Indexed By
Publisher
Date Issued
Date Accessioned
MOST Discipline Catalogue
Study Hall
Image search
Paste the image URL
Home
Collections
Authors
DocType
Subjects
K-Map
News
Search in the results
Collection
机器人学研究室 [1]
Authors
Document Type
Journal ar... [1]
Date Issued
2020 [1]
Language
英语 [1]
Source Publication
Neurocompu... [1]
Funding Project
China Post... [1]
China Post... [1]
Fundamenta... [1]
HKRGC GRF[... [1]
HKRGC GRF[... [1]
HKRGC GRF[... [1]
More...
Indexed By
EI [1]
SCI [1]
Funding Organization
China Post... [1]
Fundamenta... [1]
HKRGC GRF [1]
HKU Grant [1]
National N... [1]
State Key ... [1]
More...
×
Knowledge Map
SIA OpenIR
Start a Submission
Submissions
Unclaimed
Claimed
Attach Fulltext
Bookmarks
QQ
Weibo
Feedback
Browse/Search Results:
1-1 of 1
Help
Filters
Funding Organization:Fundamental Research Funds for the Central Universities
Funding Organization:HKRGC GRF
Selected(
0
)
Clear
Items/Page:
5
10
15
20
25
30
35
40
45
50
55
60
65
70
75
80
85
90
95
100
Sort:
Select
Issue Date Ascending
Issue Date Descending
Title Ascending
Title Descending
Journal Impact Factor Ascending
Journal Impact Factor Descending
Submit date Ascending
Submit date Descending
Author Ascending
Author Descending
WOS Cited Times Ascending
WOS Cited Times Descending
Deep plug-and-play prior for low-rank tensor completion
期刊论文
Neurocomputing, 2020, 卷号: 400, 页码: 137-149
Authors:
Zhao XL(赵熙乐)
;
Xu, Wen-Hao
;
Jiang TX(蒋太翔)
;
Wang Y(王尧)
;
Ng, Michael K.
Adobe PDF(6634Kb)
  |  
Favorite
  |  
View/Download:96/11
  |  
Submit date:2020/04/11
Tensor completion
Tensor nuclear norm
Denoising neural network
Alternating direction method of multipliers
Plug-and-play framework