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Laplacian sparse dictionary learning for image classification based on sparse representation Article

Fang LI, Jia SHENG, San-yuan ZHANG

Frontiers of Information Technology & Electronic Engineering 2017, Volume 18, Issue 11,   Pages 1795-1805 doi: 10.1631/FITEE.1600039

Abstract: To obtain a smaller and more representative dictionary, in this paper, we propose an approach called LaplacianWe incorporate the Laplacian weighted graph in the sparse representation model and impose the l1-norm

Keywords： Sparse representation     Laplacian regularizer     Dictionary learning     Double sparsity     Manifold    

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Passive millimeter-wave target recognition based on Laplacian eigenmaps

Luo Lei,Li Yuehua,Luan Yinghong

Strategic Study of CAE 2010, Volume 12, Issue 3,   Pages 77-81

Abstract: short-time Fourier spectrum of metal target echo signal are explored using manifold learning algorithm, Laplacian

Keywords： manifold learning     Laplacian eigenmaps     nonlinear dimensionality reduction     low dimensional manifold     MMW    

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Distributed coordination inmulti-agent systems: a graph Laplacian perspective

Zhi-min HAN,Zhi-yun LIN,Min-yue FU,Zhi-yong CHEN

Frontiers of Information Technology & Electronic Engineering 2015, Volume 16, Issue 6,   Pages 429-448 doi: 10.1631/FITEE.1500118

Abstract: This paper reviews some main results and progress in distributed multi-agent coordination from a graph Laplacianexisting literature in distributed multi-agent coordination and a new perspective in terms of graph Laplacian

Keywords： Multi-agent systems     Distributed coordination     Graph Laplacian    

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An anchor-based spectral clustering method None

Qin ZHANG, Guo-qiang ZHONG, Jun-yu DONG

Frontiers of Information Technology & Electronic Engineering 2018, Volume 19, Issue 11,   Pages 1385-1396 doi: 10.1631/FITEE.1700262

Abstract: For a clustering problem with n samples, it needs to compute the eigenvectors of the graph Laplacian

Keywords： Clustering     Spectral clustering     Graph Laplacian     Anchors    

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Coherence analysis and Laplacian energy of recursive trees with controlled initial states Research Articles

Mei-du Hong, Wei-gang Sun, Su-yu Liu, Teng-fei Xuan,wgsun@hdu.edu.cn

Frontiers of Information Technology & Electronic Engineering 2020, Volume 21, Issue 6,   Pages 809-962 doi: 10.1631/FITEE.1900133

Abstract: The problem in a linear system with additive noises is characterized as , which is defined by a LaplacianBased on the structures of our recursive treelike model, we obtain the recursive relationships for Laplaciansecond-order coherences, which are calculated by the sum and square sum of the reciprocal of all nonzero Laplacian

Keywords： 一致性；网络一致性；拉普拉斯能量    

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Title Author Date Type Operation

Laplacian sparse dictionary learning for image classification based on sparse representation

Fang LI, Jia SHENG, San-yuan ZHANG

Journal Article

Passive millimeter-wave target recognition based on Laplacian eigenmaps

Luo Lei,Li Yuehua,Luan Yinghong

Journal Article

Distributed coordination inmulti-agent systems: a graph Laplacian perspective

Zhi-min HAN,Zhi-yun LIN,Min-yue FU,Zhi-yong CHEN

Journal Article

An anchor-based spectral clustering method

Qin ZHANG, Guo-qiang ZHONG, Jun-yu DONG

Journal Article

Coherence analysis and Laplacian energy of recursive trees with controlled initial states

Mei-du Hong, Wei-gang Sun, Su-yu Liu, Teng-fei Xuan,wgsun@hdu.edu.cn

Journal Article