Results 21 to 30 of about 4,837,596 (345)
On the distance energy of k-uniform hypergraphs
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
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Multi-distance support matrix machines [PDF]
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
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On spectral spread of generalized distance matrix of a graph [PDF]
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]
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
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Analysis of amino acids network based on transition and transversion mutation of codons [PDF]
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
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
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FastTree: Computing Large Minimum Evolution Trees with Profiles instead of a Distance Matrix
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]
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
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3D Human Pose Estimation from a Single Image via Distance Matrix Regression [PDF]
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]
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
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