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重庆绿色智能技术研究... [8]
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期刊论文 [25]
会议论文 [8]
发表日期
2018 [33]
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Edge-group sparse PCA for network-guided high dimensional data analysis
期刊论文
BIOINFORMATICS, 2018, 卷号: 34, 期号: 20, 页码: 3479-3487
作者:
Min, Wenwen
;
Liu, Juan
;
Zhang, Shihua
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浏览/下载:18/0
  |  
提交时间:2019/01/11
Design and Implementation of Adaptive SpMV Library for Multicore and Many-Core Architecture
期刊论文
ACM TRANSACTIONS ON MATHEMATICAL SOFTWARE, 2018, 卷号: 44, 期号: 4, 页码: 25
作者:
Tan, Guangming
;
Liu, Junhong
;
Li, Jiajia
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浏览/下载:23/0
  |  
提交时间:2019/12/10
Sparse matrix vector multiplication
auto-tuning
multicore
machine learning
Millimeter-Wave InSAR Image Reconstruction Approach by Total Variation Regularized Matrix Completion
期刊论文
REMOTE SENSING, 2018, 卷号: 10, 期号: 7, 页码: 16
作者:
Zhang, Yilong
;
Miao, Wei
;
Lin, Zhenhui
;
Gao, Hao
;
Shi, Shengcai
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  |  
浏览/下载:63/0
  |  
提交时间:2019/04/08
millimeter-wave
interferometric synthetic aperture radiometer
image reconstruction
total variation
matrix completion
undersampling
Sparse Weighted Canonical Correlation Analysis
期刊论文
CHINESE JOURNAL OF ELECTRONICS, 2018, 卷号: 27, 期号: 3, 页码: 459-466
作者:
Min Wenwen
;
Liu Juan
;
Zhang Shihua
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  |  
浏览/下载:23/0
  |  
提交时间:2018/07/30
Canonical correlation analysis (CCA)
Sparse canonical correlation analysis (SCCA)
Sparse weighted CCA (SWCCA)
Group LASSO regularized SWCCA
Multi-view SWCCA
An Inherently Nonnegative Latent Factor Model for High-Dimensional and Sparse Matrices from Industrial Applications
期刊论文
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2018, 卷号: 14, 期号: 5, 页码: 2011-2022
作者:
Luo, Xin
;
Zhou, MengChu
;
Li, Shuai
;
Shang, MingSheng
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浏览/下载:33/0
  |  
提交时间:2018/07/02
Big data
high-dimensional and sparse matrix
learning algorithms
missing-data estimation
nonnegative latent factor analysis
optimization methods recommender system
A Method of Reconstruction of Compressed Measuring for Mechanical Vibration Signals Based on K-SVD Dictionary-training Algorithm Sparse Representation
期刊论文
Jixie Gongcheng Xuebao/Journal of Mechanical Engineering, 2018, 卷号: 54, 期号: 7, 页码: 97-106
作者:
Guo, Junfeng
;
Shi, Bin
;
Wei, Xingchun
;
Li, Haiyan
;
Wang, Zhiming
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浏览/下载:8/0
  |  
提交时间:2020/11/14
Compressed sensing
Digital storage
Signal reconstruction
Signal sampling
Singular value decomposition
Dictionary trainings
Gaussian random matrices
Mechanical vibration signals
Nyquist sampling theorem
Orthogonal matching pursuit
Over-complete dictionaries
Sparse representation
Vibration signal
Multiview Label Sharing for Visual Representations and Classifications
期刊论文
IEEE TRANSACTIONS ON MULTIMEDIA, 2018, 卷号: 20, 期号: 4, 页码: 903-913
作者:
Zhang, Chunjie
;
Cheng, Jian
;
Tian, Qi
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浏览/下载:29/0
  |  
提交时间:2018/10/10
Multi-view Learning
Linear Transformation
Shared Space
Image Representation
Visual Classification
Incorporation of Efficient Second-Order Solvers Into Latent Factor Models for Accurate Prediction of Missing QoS Data
期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2018, 卷号: 48, 期号: 4, 页码: 1216-1228
作者:
Luo, Xin
;
Zhou, MengChu
;
Li, Shuai
;
Xia, Yunni
;
You, Zhu-Hong
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  |  
浏览/下载:26/0
  |  
提交时间:2018/06/04
Big data
latent factor model
missing data prediction
quality-of-service (QoS)
second-order solver
service computing sparse matrices
Web service
Method of Compressed Sensing for Mechanical Vibration Signals Based on Double Sparse Dictionary Model
期刊论文
Jixie Gongcheng Xuebao/Journal of Mechanical Engineering, 2018, 卷号: 54, 期号: 6, 页码: 118-127
作者:
Guo, Junfeng
;
Shi, Bin
;
Lei, Chunli
;
Wei, Xingchun
;
Li, Haiyan
收藏
  |  
浏览/下载:8/0
  |  
提交时间:2020/11/14
Compressed sensing
Condition monitoring
Data communication equipment
Digital storage
Signal reconstruction
Signal sampling
Singular value decomposition
Gaussian random matrices
Mechanical vibration signals
Nyquist sampling theorem
Orthogonal matching pursuit
Over-complete dictionaries
Sparse dictionaries
Sparse representation
Vibration signal
Sparse recovery: From vectors to tensors
期刊论文
National Science Review, 2018, 卷号: 5, 期号: 5, 页码: 756-767
作者:
Yuan, Ming
;
Meng DY(孟德宇)
;
Wang Y(王尧)
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  |  
浏览/下载:19/0
  |  
提交时间:2018/11/09
High-dimensional Data
Sparsity
Compressive Sensing
Low-rank Matrix Recovery
Tensors
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