Results 1 to 10 of about 364 (107)

Hypergraph-Enhanced Textual-Visual Matching Network for Cross-Modal Remote Sensing Image Retrieval via Dynamic Hypergraph Learning

open access: yesIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2023
Cross-modal remote sensing (RS) image retrieval aims to retrieve RS images using other modalities (e.g., text) and vice versa. The relationship between objects in the RS image is complex, i.e., the distribution of multiple types of objects is uneven ...
Fanglong Yao   +6 more
doaj   +3 more sources

Constructing and sampling partite, 3-uniform hypergraphs with given degree sequence. [PDF]

open access: yesPLoS ONE
Partite, 3-uniform hypergraphs are 3-uniform hypergraphs in which each hyperedge contains exactly one point from each of the 3 disjoint vertex classes. We consider the degree sequence problem of partite, 3-uniform hypergraphs, that is, to decide if such ...
András Hubai   +4 more
doaj   +2 more sources

Regularity and duality of intuitionistic fuzzy k-partite hypergraphs [PDF]

open access: yesNotes on IFS, 2023
A graph in which the edge can connect more than two vertices is called a Hypergraph. A k-partite hypergraph is a hypergraph whose vertices can be split into k different independent sets. In this paper, regular, totally regular, totally irregular, totally
K. K. Myithili, R. Keerthika
doaj   +1 more source

The existence of bipartite almost self-complementary 3-uniform hypergraphs [PDF]

open access: yesOpuscula Mathematica, 2023
An almost self-complementary 3-uniform hypergraph on \(n\) vertices exists if and only if \(n\) is congruent to 3 modulo 4 A hypergraph \(H\) with vertex set \(V\) and edge set \(E\) is called bipartite if \(V\) can be partitioned into two subsets \(V_1\
L.N. Kamble   +2 more
doaj   +1 more source

Semi-Supervised Classification via Hypergraph Convolutional Extreme Learning Machine

open access: yesApplied Sciences, 2021
Extreme Learning Machine (ELM) is characterized by simplicity, generalization ability, and computational efficiency. However, previous ELMs fail to consider the inherent high-order relationship among data points, resulting in being powerless on ...
Zhewei Liu   +4 more
doaj   +1 more source

Double Domination and Regular Domination in Intuitionistic Fuzzy Hypergraph

open access: yesJournal of Mathematics, 2022
This study investigates the domination, double domination, and regular domination in intuitionistic fuzzy hypergraph (IFHG), which has enormous application in computer science, networking, chemical, and biological engineering.
P. Aruna Sri   +3 more
doaj   +1 more source

ON THE NORMALITY OF t-CAYLEY HYPERGRAPHS OF ABELIAN GROUPS [PDF]

open access: yesJournal of Algebraic Systems, 2019
A t-Cayley hypergraph X = t-Cay(G; S) is called normal for a finite group G, if the right regular representationR(G) of G is normal in the full automorphism group Aut(X) of X. In this paper, we investigate the normality of t-Cayley hypergraphs of abelian
R. Bayat, M. Alaeiyan, S. Firouzian
doaj   +1 more source

Steiner Configurations Ideals: Containment and Colouring

open access: yesMathematics, 2021
Given a homogeneous ideal I⊆k[x0,…,xn], the Containment problem studies the relation between symbolic and regular powers of I, that is, it asks for which pairs m,r∈N, I(m)⊆Ir holds.
Edoardo Ballico   +4 more
doaj   +1 more source

Sparse SYK and traversable wormholes

open access: yesJournal of High Energy Physics, 2021
We investigate two sparse Sachdev-Ye-Kitaev (SYK) systems coupled by a bilinear term as a holographic quantum mechanical description of an eternal traversable wormhole in the low temperature limit.
Elena Cáceres   +2 more
doaj   +1 more source

NPIPVis: A Visualization System Involving NBA Visual Analysis and Integrated Learning Model Prediction

open access: yesVirtual Reality & Intelligent Hardware, 2022
Background: Data-driven event analysis has gradually become the backbone of modern competitive sports analysis. Increasingly, competitive sports data analysis tasks use computer vision and machine learning models for intelligent data analysis.
Zhuo Shi   +5 more
doaj   +1 more source

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