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科研机构
自动化研究所 [19]
内容类型
期刊论文 [16]
学位论文 [2]
会议论文 [1]
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2022 [1]
2021 [6]
2020 [2]
2018 [4]
2015 [1]
2014 [1]
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An Improved Phase Correlation Subpixel Remote Sensing Registration Algorithm Using Probability-Guided RANSAC
期刊论文
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2022, 卷号: 19, 页码: 5
作者:
Dong, Yunyun
;
Liang, Chenbin
;
Sun, Zengguo
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浏览/下载:25/0
  |  
提交时间:2022/07/25
Correlation
Task analysis
Training
Convolution
Remote sensing
Image registration
Neural networks
Image registration
phase correlation
probability-guided
random sample consensus (RANSAC)
Constrained Tensor Representation Learning for Multi-View Semi-Supervised Subspace Clustering
期刊论文
IEEE Transactions on Multimedia, 2021, 卷号: 0, 期号: 0, 页码: 0
作者:
Yongqiang, Tang
;
Yuan, Xie
;
Chenyang, Zhang
;
Wensheng, Zhang
收藏
  |  
浏览/下载:29/0
  |  
提交时间:2022/04/01
Multi-view learning
pairwise constraint
semi-supervised clustering
subspace learning
tensor singular value decomposition (t-SVD)
A nonlinear calibration transfer method based on joint kernel subspace
期刊论文
CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS, 2021, 卷号: 210, 页码: 14
作者:
Shan, Peng
;
Zhao, Yuhui
;
Wang, Qiaoyun
;
Wang, Shuyu
;
Ying, Yao
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  |  
浏览/下载:28/0
  |  
提交时间:2021/05/06
Calibration transfer
Multivariate calibration
Joint kernel subspace
Kernel partial least squares (KPLS)
One-Step Multiview Subspace Segmentation via Joint Skinny Tensor Learning and Latent Clustering
期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2021, 页码: 15
作者:
Tang, Yongqiang
;
Xie, Yuan
;
Zhang, Changqing
;
Zhang, Zhizhong
;
Zhang, Wensheng
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  |  
浏览/下载:43/0
  |  
提交时间:2022/01/27
Tensors
Optimization
Clustering methods
Computational modeling
Clustering algorithms
Semantics
Matrix decomposition
Multiview clustering
multiview representations
subspace clustering
tensor singular value decomposition (t-SVD)
Robust Kernelized Multiview Self-Representation for Subspace Clustering
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 卷号: 32, 期号: 2, 页码: 868-881
作者:
Xie, Yuan
;
Liu, Jinyan
;
Qu, Yanyun
;
Tao, Dacheng
;
Zhang, Wensheng
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  |  
浏览/下载:51/0
  |  
提交时间:2021/03/29
Tensile stress
Kernel
Manifolds
Optimization
Learning systems
Correlation
Data models
Kernelization
multiview subspace learning
nonlinear subspace clustering
tensor singular value decomposition (t-SVD)
A Novel Rolling Bearing Vibration Impulsive Signals Detection Approach Based on Dictionary Learning
期刊论文
IEEE/CAA Journal of Automatica Sinica, 2021, 卷号: 8, 期号: 6, 页码: 1188-1198
作者:
Chuan Sun
;
Hongpeng Yin
;
Yanxia Li
;
Yi Chai
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  |  
浏览/下载:50/0
  |  
提交时间:2021/06/11
Dictionary learning
impulsive signals detection
K-clustering with singular value decomposition (K-SVD)
minimum entropy deconvolution
rolling bearing
signal processing
A Multi-Modal Edge Consistency Metric Based on Regression Robustness of Truncated SVD
期刊论文
IEEE SIGNAL PROCESSING LETTERS, 2021, 卷号: 28, 页码: 1065-1069
作者:
Zhu, Mingzhu
;
Yu, Junzhi
;
Gao, Zhang
;
He, Bingwei
;
Liu, Jiantao
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  |  
浏览/下载:39/0
  |  
提交时间:2021/08/15
Image edge detection
Measurement
Robustness
Linear regression
Complexity theory
Noise measurement
Mutual information
Regression robustness
multi-modal corres-pondence
edge consistency
singular value decomposition
Distinguishing Epileptiform Discharges From Normal Electroencephalograms Using Adaptive Fractal and Network Analysis: A Clinical Perspective
期刊论文
FRONTIERS IN PHYSIOLOGY, 2020, 卷号: 11, 页码: 15
作者:
Li, Qiong
;
Gao, Jianbo
;
Zhang, Ziwen
;
Huang, Qi
;
Wu, Yuan
收藏
  |  
浏览/下载:42/0
  |  
提交时间:2020/09/28
EEG
epileptiform discharges
adaptive fractal analysis
Hurst parameter
singular value decomposition
brain network
Hyper-Laplacian Regularized Multilinear Multiview Self-Representations for Clustering and Semisupervised Learning
期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2020, 卷号: 50, 期号: 2, 页码: 572-586
作者:
Xie, Yuan
;
Zhang, Wensheng
;
Qu, Yanyun
;
Dai, Longquan
;
Tao, Dacheng
收藏
  |  
浏览/下载:52/0
  |  
提交时间:2020/03/30
Tensile stress
Manifolds
Encoding
Laplace equations
Semisupervised learning
Correlation
Optimization
Manifold regularization
multilinear
multiview features
nonlinear subspace clustering
tensor singular-value decomposition (t-SVD)
On Unifying Multi-view Self-Representations for Clustering by Tensor Multi-rank Minimization
期刊论文
INTERNATIONAL JOURNAL OF COMPUTER VISION, 2018, 卷号: 126, 期号: 11, 页码: 1157-1179
作者:
Xie, Yuan
;
Tao, Dacheng
;
Zhang, Wensheng
;
Liu, Yan
;
Zhang, Lei
收藏
  |  
浏览/下载:45/0
  |  
提交时间:2019/12/16
T-svd
Tensor Multi-rank
Multi-view Features
Subspace Clustering
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