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Laplacian Sparse Coding, Hypergraph Laplacian Sparse Coding, and Applications
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2013Sparse coding exhibits good performance in many computer vision applications. However, due to the overcomplete codebook and the independent coding process, the locality and the similarity among the instances to be encoded are lost. To preserve such locality and similarity information, we propose a Laplacian sparse coding (LSc) framework.
Shenghua Gao, Liang-Tien Chia
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Dirac Laplacian and Connection Laplacian
1993We discuss the general Bochner identity which gives an expression of the Dirac Laplacian A 2 in terms of the connection Laplacian D*D and certain bundle ...
Bernhelm Booß-Bavnbek +1 more
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Laplacian Controllability for Graphs with Integral Laplacian Spectrum
Mediterranean Journal of Mathematics, 2021zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Proceedings of the 2004 Eurographics/ACM SIGGRAPH symposium on Geometry processing, 2004
Surface editing operations commonly require geometric details of the surface to be preserved as much as possible. We argue that geometric detail is an intrinsic property of a surface and that, consequently, surface editing is best performed by operating over an intrinsic surface representation.
Sorkine, O. +5 more
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Surface editing operations commonly require geometric details of the surface to be preserved as much as possible. We argue that geometric detail is an intrinsic property of a surface and that, consequently, surface editing is best performed by operating over an intrinsic surface representation.
Sorkine, O. +5 more
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Indexing through laplacian spectra
Computer Vision and Image Understanding, 2008With ever growing databases containing multimedia data, indexing has become a necessity to avoid a linear search. We propose a novel technique for indexing multimedia databases in which entries can be represented as graph structures. In our method, the topological structure of a graph as well as that of its subgraphs are represented as vectors whose ...
Demirci, Muhammed Fatih +2 more
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Laplacian pyramid networks: A new approach for multispectral pansharpening
Information Fusion, 2022Cheng Jin +2 more
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Semi-supervised classification by graph p-Laplacian convolutional networks
Information Sciences, 2021Fu Sichao, Weifeng Liu, Yicong Zhou
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What is the fractional Laplacian? A comparative review with new results
Journal of Computational Physics, 2020Guofei Pang +2 more
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