Results 251 to 260 of about 468,741 (299)

Disrupted gray matter structural covariance networks in chronic insomnia disorder. [PDF]

open access: yesFront Psychiatry
Li Z   +21 more
europepmc   +1 more source

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

open access: closedTheory of Computing Systems
P. Mishra   +4 more
openalex   +2 more sources

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

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

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

Graph Theory for Dimensionality Reduction: A Case Study to Prognosticate Parkinson's

IEEE Annual Information Technology, Electronics and Mobile Communication Conference, 2020
In the present world, the commotion centering Big Data is somewhat obscuring the craft of mining information from smaller samples. Populations with limited examples but huge dimensionality are a common phenomenon, otherwise known as the curse of ...
Shithi Maitra   +3 more
semanticscholar   +1 more source

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