Results 11 to 20 of about 117,362 (280)

PolSAR Image Feature Extraction via Co-Regularized Graph Embedding

open access: yesRemote Sensing, 2020
Dimensionality reduction (DR) methods based on graph embedding are widely used for feature extraction. For these methods, the weighted graph plays a vital role in the process of DR because it can characterize the data’s structure information.
Xiayuan Huang, Xiangli Nie, Hong Qiao
doaj   +1 more source

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

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

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

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   +1 more source

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
Bérczi, Kristóf   +2 more
openaire   +3 more sources

Abnormal Electricity Behavior Recognition of Graph Regularization Nonlinear Ridge Regression Model [PDF]

open access: yesJisuanji gongcheng, 2018
For the detection of abnormal electricity behavior by users,power companies usually adopt manual inspection methods,however,this method requires a lot of manpower and material resources,and is influened by subjective factors.Therefore,an abnormal ...
ZHANG Xiaofei,GENG Juncheng,SUN Yubao
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

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

About Regular Graphs

open access: yesFormalized Mathematics, 2023
Abstract In this article regular graphs, both directed and undirected, are formalized in the Mizar system [7], [2], based on the formalization of graphs as described in [10]. The handshaking lemma is also proven.
openaire   +2 more sources

Graph Regularization Methods in Soft Detector Fusion

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   +1 more source

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