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CASIA OpenIR

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Shared Low-Rank Correlation Embedding for Multiple Feature Fusion 期刊论文
IEEE TRANSACTIONS ON MULTIMEDIA, 2021, 卷号: 23, 页码: 1855-1867
作者:  Wang, Zhan;  Wang, Lizhi;  Wan, Jun;  Huang, Hua
收藏  |  浏览/下载：185/0  |  提交时间：2021/12/28
Correlation  Kernel  Task analysis  Fuses  Noise measurement  Laplace equations  Dictionaries  Common subspace  low-rank representation  multiple feature fusion  canonical correlation analysis  
A New Subspace Clustering Strategy for AI-Based Data Analysis in IoT System 期刊论文
IEEE INTERNET OF THINGS JOURNAL, 2021, 卷号: 8, 期号: 16, 页码: 12540-12549
作者:  Cui, Zhihua;  Jing, Xuechun;  Zhao, Peng;  Zhang, Wensheng;  Chen, Jinjun
收藏  |  浏览/下载：246/0  |  提交时间：2021/11/02
Sparse matrices  Internet of Things  Clustering algorithms  Correlation  Artificial intelligence  Servers  Hyperspectral imaging  Close neighbors  data analysis  hyperspectral images (HSIs)  Internet of Things (IoT)  subspace clustering  
SRSC: Selective, Robust, and Supervised Constrained Feature Representation for Image Classification 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2020, 卷号: 31, 期号: 10, 页码: 4290-4302
作者:  Xie, Guo-Sen;  Zhang, Zheng;  Liu, Li;  Zhu, Fan;  Zhang, Xu-Yao;  Shao, Ling;  Li, Xuelong
收藏  |  浏览/下载：259/0  |  提交时间：2021/01/07
Training  Task analysis  Learning systems  Computational modeling  Optimization  Support vector machines  Principal component analysis  Feature learning  feature selection  least squares  subspace learning  
Principal component analysis or kernel principal component analysis based joint spectral subspace method for calibration transfer 期刊论文
SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY, 2020, 卷号: 227, 页码: 16
作者:  Shan, Peng;  Zhao, Yuhui;  Wang, Qiaoyun;  Ying, Yao;  Peng, Silong
收藏  |  浏览/下载：229/0  |  提交时间：2020/03/30
Calibration transfer  Principal component analysis (PCA)  Kernel principal component analysis (KPCA)  Multivariate calibration  Joint spectral subspace  Partial least squares (PLS)  
Generalized Latent Multi-View Subspace Clustering 期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2020, 卷号: 42, 期号: 1, 页码: 86-99
作者:  Zhang, Changqing;  Fu, Huazhu;  Hu, Qinghua;  Cao, Xiaochun;  Xie, Yuan;  Tao, Dacheng;  Xu, Dong
收藏  |  浏览/下载：356/0  |  提交时间：2020/03/30
Clustering methods  Correlation  Electronic mail  Neural networks  Task analysis  Clustering algorithms  Minimization  Multi-view clustering  subspace clustering  latent representation  neural networks  
Discriminating Bipolar Disorder from Major Depression Based on Kernel Svm Using Functional Independent Components 会议论文
, Tokyo, Japan., 2017/9/25-28
作者:  Shuang Gao;  Elizabeth A Osuch;  Michael Wammes;  Jean Théberge;  Tianzi Jiang;  Vince D Calhoun;  Sui Jing(隋婧)
浏览  |  Adobe PDF(712Kb)  |  收藏  |  浏览/下载：335/102  |  提交时间：2018/03/09
Independent Component Analysis  Linear Subspace  Kernel Svm  Bipolar Disorder  Major Depression Disorder  Fmri Data  Schizophrenia  Unipolar  Amygdala  
Blind Source Separation for Unimodal and Multimodal Brain Networks: A Unifying Framework for Subspace Modeling 期刊论文
IEEE Journal of Selected Topics in Signal Processing, 2016, 卷号: 7, 期号: 10, 页码: 1134-1149
作者:  Rogers F. Silva;  Sergey M. Plis;  Sui Jing(隋婧);  Marios S. Pattichis;  Tülay Adalı;  Vince D. Calhoun
浏览  |  Adobe PDF(971Kb)  |  收藏  |  浏览/下载：365/79  |  提交时间：2018/01/08
Bss  Neuroimaging  Unimodal  Multimodality  Multiset Data Analysis  Overview  Subspace  Unify  
Face Image Modeling by Multilinear Subspace Analysis With Missing Values 期刊论文
IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS, 2011, 卷号: 41, 期号: 3, 页码: 881-892
作者:  Geng, Xin;  Smith-Miles, Kate;  Zhou, Zhi-Hua;  Wang, Liang
收藏  |  浏览/下载：238/0  |  提交时间：2015/11/08
Face Recognition  Facial Age Estimation  Missing Values  Multilinear Subspace Analysis (Msa)  
Kernel-based nonlinear discriminant analysis for face recognition 期刊论文
JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY, 2003, 卷号: 18, 期号: 6, 页码: 788-795
作者:  Liu, QS;  Huang, R;  Lu, HQ;  Ma, SD
收藏  |  浏览/下载：185/0  |  提交时间：2015/11/08
Linear Subspace Analysis  Kernel-based Nonlinear Discriminant Analysis  Kernel-based Principal Component Analysis  Face Recognition  
Ensemble learning for independent component analysis 期刊论文
PATTERN RECOGNITION, 2006, 卷号: 39, 期号: 1, 页码: 81-88
作者:  Cheng, J;  Liu, QS;  Lu, HQ;  Chen, YW
收藏  |  浏览/下载：174/0  |  提交时间：2015/11/08
Independent Component Analysis  Ensemble Learning  Random Independent Subspace  Face Recognition  Majority Voting