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科研机构

湖南大学 [2]

西安交通大学 [1]

国家天文台 [1]

自动化研究所 [1]

山东大学 [1]

天津大学 [1]

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期刊论文 [6]

会议论文 [1]

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2019 [7]

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发表日期：2019

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	Feature Extraction and Analysis of Double-Peaked Emission Line Spectra Based on Relevant Subspace 期刊论文 SPECTROSCOPY AND SPECTRAL ANALYSIS, 2019, 卷号: 39, 期号: 6, 页码: 1677-1682 作者: Qu Cai-xia; Yang Hai-feng; Cai Jiang-hui; Luo A-li; Zhang Ji-fu 收藏 \| 浏览/下载：8/0 \| 提交时间：2020/03/10 Double-peaked emission lines Relevant subspace LAMOST Spectral analysis
	Maximum Correntropy Criterion based Sparse Subspace Learning for Unsupervised Feature Selection 期刊论文 IEEE Transactions on Circuits and Systems for Video Technology, 2019, 卷号: 29, 页码: 404-417 作者: Zhou, Nan; Xu, Yangyang; Cheng, Hong; Yuan, Zejian; Chen, Badong 收藏 \| 浏览/下载：5/0 \| 提交时间：2019/11/19 Computational modeling Convergence Feature extraction feature selection Kernel machine learning maximum correntropy criterion Measurement Robustness sparse subspace learning
	Supervised Polsar image classification by combining multiple features 会议论文 Taipei, Taiwan, 2019/9/22-9/25 作者: Huang, Xiayuan; Nie, Xiangli; Qiao, Hong; Zhang, Bo 收藏 \| 浏览/下载：44/0 \| 提交时间：2019/10/08
	Simultaneously Learning Neighborship and Projection Matrix for Supervised Dimensionality Reduction. 期刊论文 IEEE Transactions on Neural Networks & Learning Systems, 2019, 卷号: Vol.30 No.9, 页码: 2779-2793 作者: Pang, Yanwei; Zhou, Bo; Nie, Feiping 收藏 \| 浏览/下载：15/0 \| 提交时间：2019/11/21 Deep learning Dimensionality reduction Feature extraction Learning systems projection matrix Sparse matrices subspace learning Toy manufacturing industry Training
	Abundance-Indicated Subspace for Hyperspectral Classification With Limited Training Samples 期刊论文 IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2019, 卷号: Vol.12 No.4, 页码: 1265-1278 作者: Shuyuan Xu; Jun Li; Mahdi Khodadadzadeh; Andrea Marinoni; Paolo Gamba 收藏 \| 浏览/下载：4/0 \| 提交时间：2019/12/13 Hyperspectral imaging Training Earth Logistics Feature extraction Hyperspectral image classification mixed pixels mutinomial logistic regression (MLR) spectral unmixing subspace learning
	Semantic convex matrix factorisation for cross-media retrieval 期刊论文 IET IMAGE PROCESSING, 2019, 卷号: Vol.13 No.1, 页码: 196-205 作者: Fang, Yixian; Ren, Yuwei; Zhang, Huaxiang 收藏 \| 浏览/下载：11/0 \| 提交时间：2019/12/17 image representation text analysis learning (artificial intelligence) feature extraction matrix decomposition image retrieval high dimensional image modality semantic feature representation semantic information lower dimension text modality intermediate-level feature representation latent semantic space projection matrix uniform dimensional latent feature representations cross-media retrieval latent features isomorphic semantic space semantic convex matrix factorisation subspace learning approach
	Low-resolution face recognition and feature selection based on multidimensional scaling joint L-2,L-1-norm regularisation 期刊论文 IET BIOMETRICS, 2019, 卷号: 8, 期号: 3, 页码: 198-205 作者: Li, Fei; Jiang, Mingyan 收藏 \| 浏览/下载：8/0 \| 提交时间：2019/12/11 image resolution face recognition regression analysis feature extraction optimisation learning (artificial intelligence) feature selection captured face images sparse coupled projection method MDSL21 maps multidimensional scaling model high-resolution samples classical subspace learning methods norm regularisation term low-resolution face recognition task multidimensional scaling joint L2 1-norm regularisation regression model optimisation method

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