Results 41 to 50 of about 323,816 (328)
Graph spectra in Computer Science
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Cvetković, Dragoš, Simić, Slobodan
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Local image descriptor based on spectral embedding
This study presents a local image descriptor based on spectral embedding. Specifically, the spectra of line graph are used to represent image edges, corners and edge points with big curvature.
Pu Yan, Jun Tang, Ming Zhu, Dong Liang
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Graphs determined by signless Laplacian spectra
In the past decades, graphs that are determined by their spectrum have received more attention, since they have been applied to several fields, such as randomized algorithms, combinatorial optimization problems and machine learning.
Ali Zeydi Abdian +2 more
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The spectra of arrangement graphs
Arrangement graphs were introduced for their connection to computational networks and have since generated considerable interest in the literature. In a pair of recent articles by Chen, Ghorbani and Wong, the eigenvalues for the adjacency matrix of an (n,k)-arrangement graph are studied and shown to be integers.
Araujo, José O., Bratten, Tim
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Band spectra of rectangular graph superlattices
We consider rectangular graph superlattices of sides l1, l2 with the wavefunction coupling at the junctions either of the delta type, when they are continuous and the sum of their derivatives is proportional to the common value at the junction with a ...
A. M. Berezhkovski +26 more
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Spectral properties of the commuting graphs of certain groups
Let G be a finite group. The commuting graph Γ=C(G)is a simple graph with vertex set G and two vertices are adjacent if and only if they commute with each other.
M. Torktaz, A.R. Ashrafi
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Consensus Indices of Two-Layered Multi-Star Networks: An Application of Laplacian Spectrum
In this article, the convergence speed and robustness of the consensus for several dual-layered star-composed multi-agent networks are studied through the method of graph spectra.
Da Huang +3 more
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Spectra of graph neighborhoods and scattering
Let $(G_\epsilon)_{\epsilon>0}$ be a family of '$\epsilon$-thin' Riemannian manifolds modeled on a finite metric graph $G$, for example, the $\epsilon$-neighborhood of an embedding of $G$ in some Euclidean space with straight edges.
Grieser, Daniel
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The Laplacian spectrum of neural networks
The brain is a complex network of neural interactions, both at the microscopic and macroscopic level. Graph theory is well suited to examine the global network architecture of these neural networks.
Siemon ede Lange +2 more
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Statistical Properties of Quantum Graph Spectra
A general analytical approach to the statistical description of quantum graph spectra based on the exact periodic orbit expansions of quantum levels is discussed.
Dabaghian, Yu.
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