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科研机构

自动化研究所 [8]

兰州理工大学 [2]

沈阳自动化研究所 [2]

生态环境研究中心 [2]

数学与系统科学研究院 [1]

南京地理与湖泊研究所 [1]

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期刊论文 [15]

会议论文 [3]

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2020 [18]

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发表日期：2020

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	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
	NeuralEE: A GPU-Accelerated Elastic Embedding Dimensionality Reduction Method for Visualizing Large-Scale scRNA-Seq Data 期刊论文 FRONTIERS IN GENETICS, 2020, 卷号: 11, 页码: 8 作者: Xiong, Jiankang; Gong, Fuzhou; Wan, Lin; Ma, Liang 收藏 \| 浏览/下载：20/0 \| 提交时间：2021/01/14 single-cell RNA sequencing elastic embedding neural networks large-scale stochastic optimization parametric models generalizable models
	Dimension reduction of a rotor faults data set based on standard orthogonal discriminant projection 期刊论文 Zhendong yu Chongji/Journal of Vibration and Shock, 2020, 卷号: 39, 期号: 18, 页码: 96-102 作者: Shi, Mingkuan; Zhao, Rongzhen 收藏 \| 浏览/下载：5/0 \| 提交时间：2022/02/17 Decision making Dimensionality reduction Frequency domain analysis Machinery Pattern recognition Time domain analysis Dimension reduction Dimensionality reduction algorithms Discriminant informations High dimensional feature Intelligent decision making Rotor fault diagnosis Sensitive features Time frequency domain
	Subspace Clustering by Integrating Sparseness and Spatial-Closeness Priors 期刊论文 Journal of Physics: Conference Series, 2020, 卷号: 1631, 期号: 1 作者: Li,Zhe; Pei,Haodong; He,Liang; Liu,Jiaming; Hu,Jiaxin 收藏 \| 浏览/下载：24/0 \| 提交时间：2021/01/07
	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
	Research on equipment fault prediction expert system based on big data dimension reduction 会议论文 Jinan, Virtual, China, June 19, 2020 - June 21, 2020 作者: Zhu, Ningning; Song, Bin; Lu, Yan; Li, Yingtang; Zhu, Zhongzheng 收藏 \| 浏览/下载：8/0 \| 提交时间：2020/12/18 Backpropagation Big data Crude oil Dimensionality reduction Expert systems Fluid catalytic cracking Forecasting Fuzzy inference Fuzzy logic Fuzzy neural networks Heavy oil production Nonlinear control systems Pattern recognition systemsData dimension reduction Dimension reduction Error back propagation Heavy oil catalytic cracking Inspection and maintenance Petrochemical enterprise Physical information Prediction accuracy
	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
	PolSAR Image Feature Extraction via Co-Regularized Graph Embedding 期刊论文 REMOTE SENSING, 2020, 卷号: 12, 期号: 11, 页码: 19 作者: Huang, Xiayuan; Nie, Xiangli; Qiao, Hong 收藏 \| 浏览/下载：15/0 \| 提交时间：2020/08/03 Wishart distance Euclidean distance of polarimetric features co-regularized graph embedding dimensionality reduction PolSAR image feature extraction
	Semi-supervised partial least squares 期刊论文 INTERNATIONAL JOURNAL OF WAVELETS MULTIRESOLUTION AND INFORMATION PROCESSING, 2020, 卷号: 18, 期号: 3, 页码: 1-12 作者: Jin, Xi; Zhang, Xing; Rao, Kaifeng; Tang, Liang; Xie, Qiwei 收藏 \| 浏览/下载：12/0 \| 提交时间：2021/09/14 Partial least squares semi-supervised unsupervised learning dimensionality reduction principal model analysis
	Self-adaption neighborhood density clustering method for mixed data stream with concept drift 期刊论文 ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE, 2020, 卷号: 89, 页码: 14 作者: Xu, Shuliang; Feng, Lin; Liu, Shenglan; Qiao, Hong 收藏 \| 浏览/下载：14/0 \| 提交时间：2020/04/07 Data stream Concept drift Rough set Clustering analysis Neighborhood entropy

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