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科研机构

自动化研究所 [10]

兰州理工大学 [2]

沈阳自动化研究所 [2]

北京航空航天大学 [1]

计算技术研究所 [1]

西安光学精密机械研究... [1]

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期刊论文 [16]

会议论文 [1]

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2020 [17]

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发表日期：2020

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	Deep prototypical networks based domain adaptation for fault diagnosis 期刊论文 JOURNAL OF INTELLIGENT MANUFACTURING, 2020, 页码: 11 作者: Wang, Huanjie; Bai, Xiwei; Tan, Jie; Yang, Jiechao 收藏 \| 浏览/下载：14/0 \| 提交时间：2021/01/06 Bearing Fault diagnosis Domain adaptation Prototype learning
	Self-centralized jointly sparse maximum margin criterion for robust dimensionality reduction 期刊论文 KNOWLEDGE-BASED SYSTEMS, 2020, 卷号: 206, 页码: 15 作者: Hu, Liangchen; Xu, Jingke; Tian, Lei; Zhang, Wensheng 收藏 \| 浏览/下载：23/0 \| 提交时间：2021/01/07 Maximum margin criterion Robustness Adaptive centroid L-1,L-2-norm sparsity Dimensionality reduction
	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：24/0 \| 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
	A multi-view attention-based deep learning system for online deviant content detection 期刊论文 WORLD WIDE WEB-INTERNET AND WEB INFORMATION SYSTEMS, 2020, 页码: 24 作者: Liang, Yunji; Guo, Bin; Yu, Zhiwen; Zheng, Xiaolong; Wang, Zhu 收藏 \| 浏览/下载：16/0 \| 提交时间：2021/01/07 Deviant content Deep learning Ensemble learning View attention Social media
	Supervised Dimensionality Reduction Methods via Recursive Regression 期刊论文 IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2020, 卷号: 31, 期号: 9, 页码: 3269-3279 作者: Liu, Yun; Zhang, Rui; Nie, Feiping; Li, Xuelong; Ding, Chris 收藏 \| 浏览/下载：23/0 \| 提交时间：2020/10/23 Dimensionality reduction Linear discriminant analysis Eigenvalues and eigenfunctions Learning systems Computer science Optical imaging Optics Optimal scaling (OS) orthogonal least squares regression (OLSR) orthogonal linear discriminant analysis (OLDA) recursive regression supervised dimensionality reduction
	Multiview Hybrid Embedding: A Divide-and-Conquer Approach 期刊论文 IEEE TRANSACTIONS ON CYBERNETICS, 2020, 卷号: 50, 期号: 8, 页码: 3640-3653 作者: Xu, Jiamiao; Yu, Shujian; You, Xinge; Leng, Mengjun; Jing, Xiao-Yuan 收藏 \| 浏览/下载：18/0 \| 提交时间：2020/08/21 Kernel Interviews Manifolds Benchmark testing Geometry Optimization Cybernetics Cross-view classification Divide-and-Conquer multiview hybrid embedding (MvHE) multiview learning
	Human posture recognition based on multiple features and rule learning 期刊论文 INTERNATIONAL JOURNAL OF MACHINE LEARNING AND CYBERNETICS, 2020, 页码: 12 作者: Ding, Weili; Hu, Bo; Liu, Han; Wang, Xinming; Huang, Xiangsheng 收藏 \| 浏览/下载：27/0 \| 提交时间：2020/07/06 Human posture recognition Multiple features Rule learning
	A generalized least-squares approach regularized with graph embedding for dimensionality reduction 期刊论文 PATTERN RECOGNITION, 2020, 卷号: 98, 页码: 10 作者: Shen, Xiang-Jun; Liu, Si-Xing; Bao, Bing-Kun; Pan, Chun-Hong; Zha, Zheng-Jun 收藏 \| 浏览/下载：14/0 \| 提交时间：2020/03/30 Dimensionality reduction Graph embedding Subspace learning Least-squares
	Transfer Learning with Dynamic Distribution Adaptation 期刊论文 ACM TRANSACTIONS ON INTELLIGENT SYSTEMS AND TECHNOLOGY, 2020, 卷号: 11, 期号: 1, 页码: 25 作者: Wang, Jindong; Chen, Yiqiang; Feng, Wenjie; Yu, Han; Huang, Meiyu 收藏 \| 浏览/下载：12/0 \| 提交时间：2020/12/10 Transfer learning domain adaptation distribution alignment deep learning subspace learning kernel method
	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：48/0 \| 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)

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