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	AsPINN: Adaptive symmetry-recomposition physics-informed neural networks 期刊论文 OAI收割 COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING, 2024, 卷号: 432, 页码: 34 作者: Liu ZT(刘子提); Liu Y(刘洋); Yan, Xunshi; Liu W(刘文); Guo SQ(郭帅旗) \| 收藏 \| 浏览/下载：9/0 \| 提交时间：2024/11/01 Network structure Parameter-sharing Feature-enhanced physics-informed neural networks Symmetry decomposition
	Improved Symmetric and Nonnegative Matrix Factorization Models for Undirected, Sparse and Large-Scaled Networks: A Triple Factorization-Based Approach 期刊论文 OAI收割 IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2020, 卷号: 16, 期号: 5, 页码: 3006-3017 作者: Song, Yan; Li, Ming; Luo, Xin; Yang, Guisong; Wang, Chongjing \| 收藏 \| 浏览/下载：14/0 \| 提交时间：2020/08/24 Computational modeling Sparse matrices Biological system modeling Symmetric matrices Matrix decomposition Linear programming Convergence Big data data analysis latent factor nonnegativity sparse and large-scaled network symmetry triple-factorization undirected
	Partial Differential Equation Approach to E-7 期刊论文 OAI收割 ACTA MATHEMATICA SINICA-ENGLISH SERIES, 2015, 卷号: 31, 期号: 2, 页码: 177-200 作者: Xu Xiao Ping \| 收藏 \| 浏览/下载：20/0 \| 提交时间：2021/01/14 E(7) E7 SYMMETRY ALGEBRA Simple Lie algebra E-7 partial differential equation irreducible module decomposition combinatorial identity
	Newton-Hooke-type symmetry of anisotropic oscillators 期刊论文 OAI收割 ANNALS OF PHYSICS, 2013, 卷号: 333, 页码: 335-359 作者: Zhang, P. M.; Horvathy, P. A.; Andrzejewski, K.; Gonera, J.; Kosinski, P. \| 收藏 \| 浏览/下载：18/0 \| 提交时间：2018/07/05 Galilean And Newton-hooke Symmetry Non-commutative Landau Problem Hill Problem Anisotropic Oscillator Chiral Decomposition Orbit Method
	Chiral decomposition in the non-commutative Landau problem 期刊论文 OAI收割 ANNALS OF PHYSICS, 2012, 卷号: 327, 页码: 1730-1743 作者: Zhang, P. -M.; Horvathy, P. A. \| 收藏 \| 浏览/下载：19/0 \| 提交时间：2018/07/05 Chiral Decomposition Non-commutative Landau Problem Newton-hooke Symmetry
	Multiwavelet based multispectral image fusion for corona detection (EI CONFERENCE) 会议论文 OAI收割 ICO20: Optical Information Processing, August 21, 2005 - August 26, 2005, Changchun, China 作者: Wang X.; Yang H.-J.; Sui Y.-X.; Yan F.; Yan F. 收藏 \| 浏览/下载：30/0 \| 提交时间：2013/03/25 Image fusion refers to the integration of complementary information provided by various sensors such that the new images are more useful for human or machine perception. Multiwavelet transform has simultaneous orthogonality symmetry compact support and vanishing moment which are not possible with scalar wavelet transform. Multiwavelet analysis can offer more precise image analysis than wavelet multiresolution analysis. In this paper a new image fusion algorithm based on discrete multiwavelet transform (DMWT) to fuse the dual-spectral images generated from the corona detection system is presented. The dual-spectrum detection system is used to detect the corona and indicate its exact location. The system combines a solar-blind UV ICCD with a visible camera where the UV image is useful for detecting UV emission from corona and the visible image shows the position of the corona. The developed fusion algorithm is proposed considering the feature of the UV and visible images adequately. The source images are performed at the pixel level. First a decomposition step is taken with the DMWT. After the decomposition step a pyramid for each source image in each level can be obtained. Then an optimized coefficient fusion rule consisting of activity level measurement coefficient combining and consistency verification is used to acquire the fused coefficients. This process reduces the impulse noise of UV image. Finally a new fused image is obtained by reconstructing the fused coefficients using inverse DMWT. This image fusion algorithm has been applied to process the multispectral UV/visible images. Experimental results show that the proposed method outperforms the discrete wavelet transform based approach.