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	Truncations of Random Unitary Matrices Drawn from Hua-Pickrell Distribution 期刊论文 COMPLEX ANALYSIS AND OPERATOR THEORY, 2023, 卷号: 17, 期号: 1, 页码: 24 作者: Lin, Zhaofeng; Qiu, Yanqi; Wang, Kai 收藏 \| 浏览/下载：11/0 \| 提交时间：2023/02/07 Determinantal point process Hua-Pickrell measure Truncated unitary matrix Limiting point process Weighted Bergman kernel
	Incipient fault detection and diagnosis of nonlinear industrial process with missing data 期刊论文 Journal of the Taiwan Institute of Chemical Engineers, 2022, 卷号: 132 作者: Mou, Miao; Zhao, Xiaoqiang 收藏 \| 浏览/下载：10/0 \| 提交时间：2022/04/21 Data acquisition Embeddings Fault detection Matrix algebra Recovery Data missing Dissimilarity analysis Embeddings Fault detection and diagnosis Incipient faults Low rank matrix decomposition Low-rank matrices Matrix decomposition Mixed kernel function Neighborhood preserving embedding Neighbourhood
	Spatial weighted kernel spectral angle constraint method for hyperspectral change detection 期刊论文 Journal of Applied Remote Sensing, 2022, 卷号: 16, 期号: 1 作者: Liu, Song; Song, Liyao; Li, Haiwei; Chen, Junyu; Zhang, Geng 收藏 \| 浏览/下载：20/0 \| 提交时间：2022/05/07 change detection hyperspectral image kernel spectral angle
	A Minimax Probability Machine for Nondecomposable Performance Measures 期刊论文 IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 页码: 13 作者: Luo, Junru; Qiao, Hong; Zhang, Bo 收藏 \| 浏览/下载：6/0 \| 提交时间：2022/04/02 Measurement Task analysis Covariance matrices Support vector machines Prediction algorithms Minimization Kernel Imbalanced classification minimax probability machine nondecomposable performance measures
	A Minimax Probability Machine for Nondecomposable Performance Measures 期刊论文 IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 页码: 13 作者: Luo, Junru; Qiao, Hong; Zhang, Bo 收藏 \| 浏览/下载：26/0 \| 提交时间：2022/01/27 Measurement Task analysis Covariance matrices Support vector machines Prediction algorithms Minimization Kernel Imbalanced classification minimax probability machine nondecomposable performance measures
	Directed Graph Clustering Algorithms, Topology, and Weak Links 期刊论文 IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2021, 页码: 15 作者: Zhang, Xiao; Lian, Bosen; Lewis, Frank L.; Wan, Yan; Cheng, Daizhan 收藏 \| 浏览/下载：10/0 \| 提交时间：2022/04/02 Directed graphs Clustering algorithms Symmetric matrices Topology Kernel Network topology Linear programming Directed graph clustering nonspectral algorithm Rayleigh's quotient weighted kernel k-means
	Fast Kernelized Correlation Filter without Boundary Effect 会议论文 Online, 2021-1 作者: Ming TANG; Linyu ZHENG; Bin YU; Jinqiao WANG 收藏 \| 浏览/下载：16/0 \| 提交时间：2021/06/21
	DeepDRK: a deep learning framework for drug repurposing through kernel-based multi-omics integration 期刊论文 BRIEFINGS IN BIOINFORMATICS, 2021, 卷号: 22, 期号: 5 作者: Wang, Yongcui; Yang, Yingxi; Chen, Shilong; Wang, Jiguang 收藏 \| 浏览/下载：28/0 \| 提交时间：2021/11/18 drug repurposing multi-omics data sources kernel-based data integration machine learning cancer precision medicine
	A Comprehensive Survey on Transfer Learning 期刊论文 PROCEEDINGS OF THE IEEE, 2021, 卷号: 109, 期号: 1, 页码: 43-76 作者: Zhuang, Fuzhen; Qi, Zhiyuan; Duan, Keyu; Xi, Dongbo; Zhu, Yongchun 收藏 \| 浏览/下载：13/0 \| 提交时间：2021/12/01 Task analysis Semisupervised learning Data models Covariance matrices Machine learning Adaptation models Kernel Domain adaptation interpretation machine learning transfer 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

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