Results 261 to 270 of about 464,627 (312)

Direct Decomposition Theory of Torsion-Free Abelian Groups of Finite Rank: Graph Method

open access: closedLobachevskii Journal of Mathematics, 2018
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
E. A. Blagoveshchenskaya   +1 more
semanticscholar   +3 more sources

Unveiling Order in Chaos: A Systematic Approach Based on Graph Theory in Enumerating Sudoku Grids of Rank n

open access: closedTheory of Computing Systems
Rachna Bhatia   +3 more
openalex   +2 more sources

Hyperspectral Image Denoising Using Adaptive Weight Graph Total Variation Regularization and Low-Rank Matrix Recovery

IEEE Geoscience and Remote Sensing Letters, 2022
Hyperspectral image (HSI) is often corrupted by various kinds of noises. This letter proposes an innovative HSI denoising approach by leveraging the graph signal processing (GSP) theory and the low-rank (LR) matrix recovery model. With GSP, the piecewise
Wanyuan Cai, Junzheng Jiang, S. Ouyang
semanticscholar   +1 more source

Hyperspectral Image Destriping and Denoising Using Stripe and Spectral Low-Rank Matrix Recovery and Graph Laplacian Regularization

Chinese Control and Decision Conference, 2022
Hyperspectral images are often degraded by various types of noise. It is important to choose appropriate image priors for the underdetermined imaging denoising problems.
Xin Chen, Fang Yang
semanticscholar   +1 more source

Graph-Theory-Based Molecular Fragmentation for Efficient and Accurate Potential Surface Calculations in Multiple Dimensions.

Journal of Chemical Theory and Computation, 2021
We present a multitopology molecular fragmentation approach, based on graph theory, to calculate multidimensional potential energy surfaces in agreement with post-Hartree-Fock levels of theory but at the density functional theory cost.
Anup Kumar   +2 more
semanticscholar   +1 more source

On the Asymptotic Nonnegative Rank of Matrices and its Applications in Information Theory

International Symposium on Information Theory, 2023
In this paper, we study the asymptotic nonnegative rank of matrices, which characterizes the asymptotic growth of the nonnegative rank of fixed nonnegative matrices under the Kronecker product.
Y. Chee, Quoc-Tung Le, Hoang Ta
semanticscholar   +1 more source

A directed link prediction method using graph convolutional network based on social ranking theory

Intelligent Data Analysis, 2021
Graph convolutional networks (GCN) have recently emerged as powerful node embedding methods in network analysis tasks. Particularly, GCNs have been successfully leveraged to tackle the challenging link prediction problem, aiming at predicting missing links that exist yet were not found.
Wu, Zheng   +5 more
openaire   +1 more source

Graph theory applications to continuity and ranking in geologic models

Computers & Geosciences, 1999
Abstract Continuity of permeable and impermeable units strongly affects the flow simulation response in geologic media. Important factors include the size of permeable and impermeable bodies, their internal geometries, and whether they connect to injection and production wells at different stages of reservoir development.
L.M. Hirsch, J.F. Schuette
openaire   +1 more source

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