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	OPM2L: An optimal instance partition-based multi-metric learning method for heterogeneous dataset classification 期刊论文 INFORMATION SCIENCES, 2023, 卷号: 648, 页码: 18 作者: Deng, Huiyuan; Meng, Xiangzhu; Wang, Huibing; Feng, Lin 收藏 \| 浏览/下载：5/0 \| 提交时间：2023/11/16 Multi-metric learning Alternating direction method Nearest-neighbor classification Riemannian manifold
	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
	Hierarchical Neighbors Embedding 期刊论文 IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2022, 页码: 14 作者: Liu, Shenglan; Yu, Yang; Liu, Kaiyuan; Wang, Feilong; Wen, Wujun 收藏 \| 浏览/下载：18/0 \| 提交时间：2023/01/09 Data sparsity hierarchical neighbors manifold learning topological and geometrical properties. the introduced to
	A Framework for Distributed Semi-supervised Learning Using Single-layer Feedforward Networks 期刊论文 Machine Intelligence Research, 2022, 卷号: 19, 期号: 1, 页码: 63-74 作者: Jin Xie, San-Yang Liu, Jia-Xi Chen 收藏 \| 浏览/下载：34/0 \| 提交时间：2022/01/25 Distributed learning (DL) semi-supervised learning (SSL) manifold regularization (MR) single layer feed-forward neural network (SLFNN) privacy preserving
	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
	A prototype-based SPD matrix network for domain adaptation EEG emotion recognition 期刊论文 PATTERN RECOGNITION, 2021, 卷号: 110, 期号: 1, 页码: 12 作者: Wang, Yixin; Qiu, Shuang; Ma, Xuelin; He, Huiguang 收藏 \| 浏览/下载：58/0 \| 提交时间：2021/01/06 EEG Emotion recognition Domain adaptation SPD matrix Riemannian manifold Prototype learning
	Probabilistic learning vector quantization on manifold of symmetric positive definite matrices 期刊论文 Neural Networks, 2021, 卷号: 142, 页码: 105-118 作者: Tang FZ(唐凤珍); Feng HF(冯海峰); Tino, Peter; Si BL(斯白露); Ji DX(冀大雄) 收藏 \| 浏览/下载：5/0 \| 提交时间：2021/05/25 Probabilistic learning vector quantization Learning vector quantization Symmetric positive definite matrices Riemannian geodesic distances Riemannian manifold
	A novel oversampling technique based on the manifold distance for class imbalance learning 期刊论文 INTERNATIONAL JOURNAL OF BIO-INSPIRED COMPUTATION, 2021, 卷号: 18, 期号: 3, 页码: 131-142 作者: Guo YN(郭一楠); Jiao BT(焦博韬); Yang LK(杨凌凯); Cheng J(程健); Yang SX(杨圣祥) 收藏 \| 浏览/下载：14/0 \| 提交时间：2021/12/20 class imbalance learning oversampling manifold learning overlapping small disjunction
	Generalized Learning Riemannian Space Quantization: A Case Study on Riemannian Manifold of SPD Matrices 期刊论文 IEEE Transactions on Neural Networks and Learning Systems, 2021, 卷号: 32, 期号: 1, 页码: 281-292 作者: Tang FZ(唐凤珍); Fan ML(范孟灵); Tino, Peter 收藏 \| 浏览/下载：35/0 \| 提交时间：2021/01/24 Generalized learning vector quantization (GLVQ) learning vector quantization (LVQ) Riemannian geodesic distances Riemannian manifold
	Fault Feature Extraction Method For Rotor Fusion of IMF Singular Value Entropy and Improved LE 期刊论文 Zhendong Ceshi Yu Zhenduan/Journal of Vibration, Measurement and Diagnosis, 2020, 卷号: 40, 期号: 6, 页码: 1204-1211 作者: Sun, Zejin; Zhao, Rongzhen 收藏 \| 浏览/下载：12/0 \| 提交时间：2022/02/17 Entropy Extraction Feature extraction Learning algorithms Nearest neighbor search Statistical tests Ensemble empirical mode decompositions (EEMD) Fault feature extractions Fault identifications Intrinsic Mode functions K nearest neighbor (KNN) Manifold learning algorithm Probability distance Sensitive components

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