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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
	Online Semisupervised Active Classification for Multiview PolSAR Data 期刊论文 IEEE TRANSACTIONS ON CYBERNETICS, 2022, 卷号: 52, 期号: 6, 页码: 4415-4429 作者: Nie, Xiangli; Fan, Mingyu; Huang, Xiayuan; Yang, Wenjing; Zhang, Bo 收藏 \| 浏览/下载：37/0 \| 提交时间：2022/07/25 Task analysis Feature extraction Heuristic algorithms Data models Manifolds Semisupervised learning Training Online active learning online multiview learning online semisupervised learning (SSL) polarimetric synthetic aperture radar (PolSAR) data classification
	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：27/0 \| 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
	UMAG-Net: A New Unsupervised Multiattention-Guided Network for Hyperspectral and Multispectral Image Fusion 期刊论文 IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2021, 卷号: 14, 页码: 7373-7385 作者: Liu, Shuaiqi; Miao, Siyu; Su, Jian; Li, Bing; Hu, Weiming 收藏 \| 浏览/下载：89/0 \| 提交时间：2021/11/02 Tensors Image fusion Hyperspectral imaging Spatial resolution Feature extraction Image reconstruction Dictionaries Deep learning hyperspectral images (HSIs) image fusion multispectral images (MSIs)
	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
	Sparse representation preserving embedding based on extreme learning machine for process monitoring 期刊论文 TRANSACTIONS OF THE INSTITUTE OF MEASUREMENT AND CONTROL, 2020, 卷号: 42, 期号: 10, 页码: 1895-1907 作者: Hui Yongyong; Zhao Xiaoqiang 收藏 \| 浏览/下载：2/0 \| 提交时间：2020/06/02 Process monitoring extreme learning machine neighborhood preserving embedding sparse representation
	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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