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武汉大学 [7]

自动化研究所 [5]

大连理工大学 [4]

北京航空航天大学 [3]

山东大学 [3]

厦门大学 [2]

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浏览/检索结果: 共38条，第1-10条

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	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 收藏 \| 浏览/下载：25/0 \| 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
	Unsupervised band selection based on artificial bee colony algorithm for hyperspectral image classification 期刊论文 APPLIED SOFT COMPUTING, 2019, 卷号: 75, 页码: 428-440 作者: Xie, Fuding; Li, Fangfei; Lei, Cunkuan; Yang, Jun; Zhang, Yong 收藏 \| 浏览/下载：57/0 \| 提交时间：2019/03/05 Hyperspectral image Band selection ABC algorithm Subspace decomposition Dimensionality reduction
	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：6/0 \| 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
	Deep point-to-subspace metric learning for sketch-based 3D shape retrieval 期刊论文 PATTERN RECOGNITION, 2019, 卷号: 96 作者: Lei, Yinjie; Zhou, Ziqin; Zhang, Pingping; Guo, Yulan; Ma, Zijun 收藏 \| 浏览/下载：25/0 \| 提交时间：2019/12/02 Sketch-based 3D shape retrieval Cross-modality discrepancy Representative-view selection Point-to-subspace distance
	Laplacian-Regularized Low-Rank Subspace Clustering for Hyperspectral Image Band Selection 期刊论文 IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2019, 卷号: 57, 期号: 3 作者: Zhai, Han; Zhang, Hongyan; Zhang, Liangpei; Li, Pingxiang 收藏 \| 浏览/下载：10/0 \| 提交时间：2019/12/05 Band selection hyperspectral image (HSI) Laplacian regularization low-rank subspace clustering (LRSC) sparse representation (SR)
	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
	Through-the-wall radar clutter mitigation using stepped-frequency signal 期刊论文 2019, 卷号: 55, 页码: 53-54 作者: Zheng, Chen; Xi, Xiaoli; Song, Zhongguo 收藏 \| 浏览/下载：12/0 \| 提交时间：2019/12/20 radar signal processing radar clutter singular value decomposition stepped-frequency signal through-the-wall radar civil applications military applications wall reflections clutter waves effective subspace selection method singular value decomposition Akaike information criterion method noise clutter mitigation through-the-wall clutter mitigation
	Anomalous: A joint modeling approach for anomaly detection on attributed networks 会议论文作者: Peng, Zhen; Luo, Minnan; Li, Jundong; Liu, Huan; Zheng, Qinghua 收藏 \| 浏览/下载：11/0 \| 提交时间：2019/11/19 Attribute information Attribute selection Attribute similarity Network structures Real-world datasets Seamless integration Suboptimal solution Subspace selection
	Camera Source Identification of Digital Images Based on Sample Selection 期刊论文 KSII TRANSACTIONS ON INTERNET AND INFORMATION SYSTEMS, 2018, 卷号: 12, 页码: 3268-3283 作者: Wang, Zhihui; Wang, Hong; Li, Haojie 收藏 \| 浏览/下载：4/0 \| 提交时间：2019/12/02 Image source identification sensor pattern noise random subspace method sample selection
	Multi-source adaptation embedding with feature selection by exploiting correlation information 期刊论文 KNOWLEDGE-BASED SYSTEMS, 2018, 卷号: Vol.143, 页码: 208-224 作者: Tao, JW; Zhou, D; Zhu, B 收藏 \| 浏览/下载：4/0 \| 提交时间：2019/02/25 Domain adaptation embedding Subspace learning Feature selection l(2,) (1)-norm

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