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2017 [19]
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发表日期:2017
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Constrained Low-Rank Learning Using Least Squares-Based Regularization
期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2017, 卷号: 47, 期号: 12, 页码: 4250-4262
作者:
Li, Ping
;
Yu, Jun
;
Wang, Meng
;
Zhang, Luming
;
Cai, Deng
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浏览/下载:34/0
  |  
提交时间:2017/12/26
Data Representation
Image Classification
Low-rank Learning
Regularization
Robust Recovery
A Semi-Supervised Method for Surveillance-Based Visual Location Recognition
期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2017, 卷号: 47, 期号: 11, 页码: 3719-3732
作者:
Liu, Pengcheng
;
Yang, Peipei
;
Wang, Chong
;
Huang, Kaiqi
;
Tan, Tieniu
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浏览/下载:39/0
  |  
提交时间:2016/10/31
Cross-device (C-d) Recognition
Semi-supervised Learning
Visual Localization
Modulus-based iterative methods for constrained Tikhonov regularization
期刊论文
JOURNAL OF COMPUTATIONAL AND APPLIED MATHEMATICS, 2017, 卷号: 319, 页码: 1-13
作者:
Bai, Zhong-Zhi
;
Buccini, Alessandro
;
Hayami, Ken
;
Reichel, Lothar
;
Yin, Jun-Feng
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  |  
浏览/下载:19/0
  |  
提交时间:2018/07/30
Discrete ill-posed problem
Regularization method
Constrained minimization
Re-Weighted Discriminatively Embedded K-Means for Multi-View Clustering
期刊论文
ieee transactions on image processing, 2017, 卷号: 26, 期号: 6, 页码: 3016-3027
作者:
Xu, Jinglin
;
Han, Junwei
;
Nie, Feiping
;
Li, Xuelong
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  |  
浏览/下载:95/0
  |  
提交时间:2017/05/31
Multi-view clustering
discriminatively embedded k-means
low-dimensional subspace
iterative re-weighted least squares
Hyperspectral Image Superresolution by Transfer Learning
期刊论文
ieee journal of selected topics in applied earth observations and remote sensing, 2017, 卷号: 10, 期号: 5, 页码: 1963-1974
作者:
Yuan, Yuan
;
Zheng, Xiangtao
;
Lu, Xiaoqiang
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  |  
浏览/下载:48/0
  |  
提交时间:2017/05/19
Collaborative nonnegative matrix factorization (CNMF)
convolutional neural network (CNN)
hyperspectral image (HSI) superresolution
A Method of Dimension Reduction of Rotor Faults Data Set Based on Fusion of Global and Local Discriminant Information
期刊论文
Zidonghua Xuebao/Acta Automatica Sinica, 2017, 卷号: 43, 期号: 4, 页码: 560-567
作者:
Zhao, Xiao-Li
;
Zhao, Rong-Zhen
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浏览/下载:9/0
  |  
提交时间:2020/11/14
Data visualization
Discriminant analysis
Failure analysis
Nearest neighbor search
Principal component analysis
Visualization
Between class scatter
Data dimension reduction
Dimension reduction method
Discriminant informations
Kernel principal component analyses (KPCA)
Local manifold structure
Locality sensitive discriminant analysis
Orthogonalization process
Highly Efficient Framework for Predicting Interactions Between Proteins
期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2017, 卷号: 47, 期号: 3, 页码: 731-743
作者:
You, Zhu-Hong
;
Zhou, MengChu
;
Luo, Xin
;
Li, Shuai
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  |  
浏览/下载:12/0
  |  
提交时间:2018/03/15
Big data
feature extraction
kernel extreme learning machine (K-ELM)
low-rank approximation (LRA)
protein-protein interactions (PPIs)
support vector machine (SVM)
Visual tracking based on the sparse representation of the PCA subspace
期刊论文
Optoelectronics Letters, 2017, 卷号: 13, 期号: 5
作者:
Chen, D.-b.
;
M. Zhu and H.-l. Wang
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  |  
浏览/下载:11/0
  |  
提交时间:2018/06/08
Highly Efficient Framework for Predicting Interactions Between Proteins
期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2017, 卷号: 47, 期号: 3, 页码: 731-743
作者:
You, ZH (You, Zhu-Hong)
;
Zhou, MC (Zhou, MengChu)
;
Luo, X (Luo, Xin)
;
Li, S (Li, Shuai)
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浏览/下载:29/0
  |  
提交时间:2017/03/23
Big data
feature extraction
kernel extreme learning machine (K-ELM)
low-rank approximation (LRA)
protein-protein interactions (PPIs)
support vector machine (SVM)
Mean response estimation with missing response in the presence of high-dimensional covariates
期刊论文
COMMUNICATIONS IN STATISTICS-THEORY AND METHODS, 2017, 卷号: 46, 期号: 2, 页码: 628-643
作者:
Li, Yongjin
;
Wang, Qihua
;
Zhu, Liping
;
Ding, Xiaobo
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浏览/下载:29/0
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提交时间:2018/07/30
Central mean subspace
Imputation
Kernel regression
Missing response
Weighted-bandwidth
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