Results 11 to 20 of about 24,126 (306)

Graph Regularization Methods in Soft Detector Fusion [PDF]

open access: yesIEEE Access, 2023
This paper presents a theoretical derivation of two new graph-based regularization methods for fusing the individual results of multiple detectors (two-class classifiers).
Addisson Salazar   +3 more
doaj   +2 more sources

On the Multiplicative Regularization of Graph Laplacians on Closed and Open Structures With Applications to Spectral Partitioning [PDF]

open access: yesIEEE Access, 2014
A new regularization technique for graph Laplacians arising from triangular meshes of closed and open structures is presented. The new technique is based on the analysis of graph Laplacian spectrally equivalent operators in terms of Sobolev norms and on ...
Rajendra Mitharwal   +1 more
doaj   +2 more sources

A Markov Random Field and Adaptive Regularization Embedded Level Set Segmentation Model Solving by Graph Cuts

open access: yesJournal of Electrical and Computer Engineering, 2019
This paper presents a novel Markov random field (MRF) and adaptive regularization embedded level set model for robust image segmentation and uses graph cuts optimization to numerically solve it.
Dengwei Wang
doaj   +2 more sources

Improving K-Nearest Neighbor Approaches for Density-Based Pixel Clustering in Hyperspectral Remote Sensing Images

open access: yesRemote Sensing, 2020
We investigated nearest-neighbor density-based clustering for hyperspectral image analysis. Four existing techniques were considered that rely on a K-nearest neighbor (KNN) graph to estimate local density and to propagate labels through algorithm ...
Claude Cariou   +2 more
doaj   +1 more source

Rethinking Graph Regularization for Graph Neural Networks

open access: yes, 2021
The graph Laplacian regularization term is usually used in semi-supervised representation learning to provide graph structure information for a model f(X).
Yang, Han, Cheng, James, Ma, Kaili
core   +1 more source

Degrees in Link Graphs of Regular Graphs

open access: yesThe Electronic Journal of Combinatorics, 2022
We analyse an extremal question on the degrees of the link graphs of a finite regular graph, that is, the subgraphs induced by non-trivial spheres. We show that if $G$ is $d$-regular and connected but not complete then some link graph of $G$ has minimum degree at most $\lfloor{2d/3}\rfloor-1$, and if $G$ is sufficiently large in terms of $d$ then some ...
Benjamini, I, Haslegrave, J
openaire   +3 more sources

Regular Graphs are Antimagic

open access: yesThe Electronic Journal of Combinatorics, 2015
An undirected simple graph $G=(V,E)$ is called antimagic if there exists an injective function $f:E\rightarrow\{1,\dots,|E|\}$ such that $\sum_{e\in E(u)} f(e)\neq\sum_{e\in E(v)} f(e)$ for any pair of different nodes $u,v\in V$. In this note we prove — with a slight modification of an argument of Cranston et al. — that $k$-regular graphs are antimagic
Kristóf Bérczi   +2 more
openaire   +3 more sources

Regular packings of regular graphs

open access: yesDiscrete Mathematics, 2002
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Amauri Gutiérrez, Anna S. Lladó
openaire   +2 more sources

Holomorphic subgraph reduction of higher-point modular graph forms

open access: yesJournal of High Energy Physics, 2019
Modular graph forms are a class of modular covariant functions which appear in the genus-one contribution to the low-energy expansion of closed string scattering amplitudes.
Jan E. Gerken, Justin Kaidi
doaj   +1 more source

Artist Similarity for Everyone: A Graph Neural Network Approach

open access: yesTransactions of the International Society for Music Information Retrieval, 2022
Artist similarity plays an important role in organizing, understanding, and subsequently, facilitating discovery in large collections of music. In this paper, we present a hybrid approach to computing similarity between artists using graph neural ...
Filip Korzeniowski   +2 more
doaj   +1 more source

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