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	Local Linear Generalized Autoencoder-Based Incipient Fault Detection for Electrical Drive Systems of High-Speed Trains 期刊论文 IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2023, 页码: 9 作者: Cheng, Chao; Ju, Yunfei; Xu, Shuiqing; Lv, Yisheng; Chen, Hongtian 收藏 \| 浏览/下载：1/0 \| 提交时间：2023/11/17 Incipient fault fault detection (FD) manifold learning generalized autocoder (GAE) electrical drive systems high-speed trains
	Open set domain adaptation with latent structure discovery and kernelized classifier learning 期刊论文 NEUROCOMPUTING, 2023, 卷号: 531, 页码: 125-139 作者: Tang, Yongqiang; Tian, Lei; Zhang, Wensheng 收藏 \| 浏览/下载：1/0 \| 提交时间：2023/11/17 Open set domain adaptation Adaptive graph learning Latent structure discovery Kernelized classifier learning
	Geometry Flow-Based Deep Riemannian Metric Learning 期刊论文 IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 9, 页码: 1882-1892 作者: Yangyang Li; Chaoqun Fei; Chuanqing Wang; Hongming Shan; Ruqian Lu 收藏 \| 浏览/下载：8/0 \| 提交时间：2023/08/10 Curvature regularization deep metric learning (DML) embedding learning geometry flow riemannian metric
	Joint Sparse Locality-Aware Regression for Robust Discriminative Learning 期刊论文 IEEE TRANSACTIONS ON CYBERNETICS, 2021, 页码: 14 作者: Hu, Liangchen; Zhang, Wensheng; Dai, Zhenlei 收藏 \| 浏览/下载：26/0 \| 提交时间：2022/02/16 Feature selection and extraction joint L-2,L-1-norms sparsity locality-aware graph learning marginal representation learning
	CKLPMDP algorithm for dimension reduction of a rotor fault data set 期刊论文 Zhendong yu Chongji/Journal of Vibration and Shock, 2021, 卷号: 40, 期号: 9, 页码: 37-42 and 54 作者: An, Huang; Zhao, Rongzhen 收藏 \| 浏览/下载：9/0 \| 提交时间：2022/02/17 Data reduction Dimensionality reduction Entropy Graph algorithms Learning algorithms Nearest neighbor search Statistical tests Vector spaces Classification performance Data dimension reduction Discriminant informations Feature extraction methods K-nearest neighbor classifiers (KNN) Local manifold structure Locality-preserving Structure information
	Fault diagnosis of rotor based on Local-Global Balanced Orthogonal Discriminant Projection 期刊论文 Measurement: Journal of the International Measurement Confederation, 2021, 卷号: 168 作者: Shi, Mingkuan; Zhao, Rongzhen; Wu, Yaochun; He, Tianjing 收藏 \| 浏览/下载：17/0 \| 提交时间：2020/11/14 Fault detection Frequency domain analysis Nearest neighbor search Rotating machinery Time domain analysis Application examples Complex characteristics Discriminant informations High dimensional feature Inter-class distance K-nearest neighbor method Structure information Time frequency domain
	Markov Chain Neighborhood Sparse Preserving Graph Embedding Based on Tensor Factorization for Batch Process Monitoring 期刊论文 IEEE Access, 2021, 卷号: 9, 页码: 16211-16224 作者: Zhao, Xiaoqiang; Mou, Miao 收藏 \| 浏览/下载：19/0 \| 提交时间：2021/03/02 Batch data processing Dimensionality reduction Embeddings Factorization Graph algorithms Graph theory Process control Process monitoring Tensors Batch process monitoring Graph embeddings Information loss Markov chain analysis Monitoring results Simulation process Tensor factorization Three dimensions
	Robustly computing restricted Voronoi diagrams (RVD) on thin-plate models 期刊论文 COMPUTER AIDED GEOMETRIC DESIGN, 2020, 卷号: 79, 页码: 12 作者: Wang, Pengfei; Xin, Shiqing; Tu, Changhe; Yan, Dongming; Zhou, Yuanfeng 收藏 \| 浏览/下载：17/0 \| 提交时间：2020/06/22 Geometry processing Restricted Voronoi diagram Thin plate Tubular shape
	Exploiting Embedding Manifold of Autoencoders for Hyperspectral Anomaly Detection 期刊论文 IEEE Transactions on Geoscience and Remote Sensing, 2020, 卷号: 58, 期号: 3, 页码: 1527-1537 作者: Lu, Xiaoqiang; Zhang, Wuxia; Huang, Ju 收藏 \| 浏览/下载：19/0 \| 提交时间：2020/03/23 Autoencoder (AE) global reconstruction hyperspectral imagery (HSI) hyperspetral anomaly detection local reconstruction manifold 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

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