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北京航空航天大学 [11]
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会议论文 [11]
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2019 [2]
2018 [1]
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内容类型:会议论文
专题:北京航空航天大学
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Correlation-Aware Sparse and Low-Rank Constrained Multi-Task Learning for Longitudinal Analysis of Alzheimer's Disease
会议论文
IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS, 2019-07-01
作者:
Jiang, Pengbo
;
Wang, Xuetong
;
Li, Qiongling
;
Jin, Leiming
;
Li, Shuyu
收藏
  |  
浏览/下载:3/0
  |  
提交时间:2019/12/30
Alzheimer's disease
feature selection
longitudinal analysis
multi-task learning
Accelerating Tile Low-Rank GEMM on Sunway Architecture
会议论文
CF '19 - PROCEEDINGS OF THE 16TH ACM INTERNATIONAL CONFERENCE ON COMPUTING FRONTIERS, 2019-01-01
作者:
Han, Qingchang
;
Yang, Hailong
;
Luan, Zhongzhi
;
Qian, Depei
收藏
  |  
浏览/下载:11/0
  |  
提交时间:2019/12/30
Tile Low-Rank GEMM
Sunway architecture
SAR image despeckling by combination of fractional-order total variation and nonlocal low rank regularization
会议论文
Proceedings - International Conference on Image Processing, ICIP
作者:
Chen, G.
;
Li, G.
;
Liu, Y.
;
Zhang, X.-P.
;
Zhang, L.
收藏
  |  
浏览/下载:4/0
  |  
提交时间:2019/12/30
Image texture
Synthetic aperture radar
Alternating direction methods
Alternating directions
Nonlocal
Regularization methods
SAR image despeckling
Self similarity properties
Synthetic aperture radar (SAR) images
Total variation
Radar imaging
SAR IMAGE DESPECKLING BY COMBINATION OF FRACTIONAL-ORDER TOTAL VARIATION AND NONLOCAL LOW RANK REGULARIZATION
会议论文
2017 24TH IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP), 2017-01-01
作者:
Chen, Gao
;
Li, Gang
;
Liu, Yu
;
Zhang, Xiao-Ping
;
Zhang, Li
收藏
  |  
浏览/下载:2/0
  |  
提交时间:2019/12/30
SAR image despeckling
fractional-order total variation
nonlocal low rank
alternating direction
Manifold Constrained Low-Rank Decomposition
会议论文
2017 IEEE INTERNATIONAL CONFERENCE ON COMPUTER VISION WORKSHOPS (ICCVW 2017), 2017-01-01
作者:
Chen, Chen
;
Zhang, Baochang
;
Del Bue, Alessio
;
Murino, Vittorio
收藏
  |  
浏览/下载:2/0
  |  
提交时间:2019/12/30
Alignment
Alternating direction method of multiplier (ADMM)
Illumination variation
Low-rank decomposition
Manifold constraints
Planar surface
Realistic images
State of the art
State-of-the-art methods
Computer vision
Matrix covariates regression with simultaneously low rank and row(column) sparse parameter
会议论文
8th International Conference on Intelligent Computation Technology and Automation (ICICTA), Nanchang, PEOPLES R CHINA, 2015-06-14
作者:
Zhao, Junlong
;
Zhan, Shushi
;
Niu, Lu
收藏
  |  
浏览/下载:2/0
  |  
提交时间:2020/01/06
Matrix covariates
low rank
sparse
Video Matting via Sparse and Low-Rank Representation
会议论文
IEEE International Conference on Computer Vision, Santiago, CHILE, 2015-01-01
作者:
Zou, Dongqing
;
Chen, Xiaowu
;
Cao, Guangying
;
Wang, Xiaogang
收藏
  |  
浏览/下载:7/0
  |  
提交时间:2019/12/30
A Non-negative Low Rank and Sparse Model for Action Recognition
会议论文
PATTERN RECOGNITION (CCPR 2014), PT II, 2014-01-01
作者:
Sheng, Biyun
;
Yang, Wankou
;
Zhang, Baochang
;
Sun, Changyin
收藏
  |  
浏览/下载:3/0
  |  
提交时间:2020/01/06
local coordinates
non-negative low rank
sparse coding
action recognition
Robust Normal Estimation of Point Cloud with Sharp Features via Subspace Clustering
会议论文
5th International Conference on Graphic and Image Processing (ICGIP), Hong Kong, PEOPLES R CHINA, 2014-01-01
作者:
Luo, Pei
;
Wu, Zhuangzhi
;
Xia, Chunhe
;
Feng, Lu
;
Jia, Bo
收藏
  |  
浏览/下载:3/0
  |  
提交时间:2020/01/06
Point cloud
Normal estimation
Low-rank representation
Sharp feature
Clustering
A sufficient condition for low-rank recovery via Iterative Hard Thresholding Pursuit
会议论文
International Conference on Machine Tool Technology and Mechatronics Engineering, ICMTTME 2014, Guilin, China, 2014-06-22
作者:
Cui, Li
;
Liu, Lu
;
Huang, Xue-Zhi
收藏
  |  
浏览/下载:3/0
  |  
提交时间:2020/01/06
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