Results 21 to 30 of about 4,837,596 (345)

On the distance energy of k-uniform hypergraphs

open access: yesSpecial Matrices, 2023
In this article, we extend the concept of distance energy for hypergraphs. We first establish a relation between the distance energy and the distance spectral radius.
Sharma Kshitij, Panda Swarup Kumar
doaj   +1 more source

Multi-distance support matrix machines [PDF]

open access: yesPattern Recognition Letters, 2019
Real-world data such as digital images, MRI scans and electroencephalography signals are naturally represented as matrices with structural information. Most existing classifiers aim to capture these structures by regularizing the regression matrix to be low-rank or sparse.
Yunfei Ye, Dong Han
openaire   +2 more sources

On spectral spread of generalized distance matrix of a graph [PDF]

open access: yesLinear and multilinear algebra, 2019
For a simple connected graph G, let , , and , respectively, are the distance matrix, the diagonal matrix of the vertex transmissions, distance Laplacian matrix and the distance signless Laplacian matrix. The generalized distance matrix of G is the convex
S. Pirzada   +3 more
semanticscholar   +1 more source

Distance matrix of weighted cactoid-type digraphs [PDF]

open access: yesLinear and Multilinear Algebra, 2021
A strongly connected digraph is called a cactoid-type if each of its blocks is a digraph consisting of finitely many oriented cycles sharing a common directed path. In this article, we find the formula for the determinant of the distance matrix for weighted cactoid-type digraphs and find its inverse, whenever it exists.
Joyentanuj Das, Sumit Mohanty
openaire   +2 more sources

Analysis of amino acids network based on transition and transversion mutation of codons [PDF]

open access: yesNetwork Biology, 2021
In this paper, we have developed a network of 20 amino acids based on a distance matrix of amino acids. This distance matrix is obtained by considering the transition and transversion mutation of codons.
Tazid Ali, Chandra Borah
doaj  

Vehicle Routing Optimization System with Smart Geopositioning Updates

open access: yesApplied Sciences, 2021
Solving the vehicle routing problem (VRP) is one of the best-known optimization issues in the TLS (transport, logistic, spedition) branch market. Various variants of the VRP problem have been presented and discussed in the literature for many years.
Radosław Belka, Mateusz Godlewski
doaj   +1 more source

FastTree: Computing Large Minimum Evolution Trees with Profiles instead of a Distance Matrix

open access: yesMolecular biology and evolution, 2009
Gene families are growing rapidly, but standard methods for inferring phylogenies do not scale to alignments with over 10,000 sequences. We present FastTree, a method for constructing large phylogenies and for estimating their reliability.
M. Price, Paramvir S. Dehal, A. Arkin
semanticscholar   +1 more source

Product distance matrix of a graph and squared distance matrix of a tree [PDF]

open access: yesApplicable Analysis and Discrete Mathematics, 2013
Let G be a strongly connected, weighted directed graph. We define a product distance ?(i,j) for pairs i,j of vertices and form the corresponding product distance matrix. We obtain a formula for the determinant and the inverse of the product distance matrix.
BAPAT, RB, SIVASUBRAMANIAN, S
openaire   +2 more sources

3D Human Pose Estimation from a Single Image via Distance Matrix Regression [PDF]

open access: yesComputer Vision and Pattern Recognition, 2016
This paper addresses the problem of 3D human pose estimation from a single image. We follow a standard two-step pipeline by first detecting the 2D position of the N body joints, and then using these observations to infer 3D pose.
F. Moreno-Noguer
semanticscholar   +1 more source

Random matrix-improved estimation of covariance matrix distances [PDF]

open access: yesJournal of Multivariate Analysis, 2019
Given two sets $x_1^{(1)},\ldots,x_{n_1}^{(1)}$ and $x_1^{(2)},\ldots,x_{n_2}^{(2)}\in\mathbb{R}^p$ (or $\mathbb{C}^p$) of random vectors with zero mean and positive definite covariance matrices $C_1$ and $C_2\in\mathbb{R}^{p\times p}$ (or $\mathbb{C}^{p\times p}$), respectively, this article provides novel estimators for a wide range of distances ...
Couillet, Romain   +3 more
openaire   +3 more sources

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