Search results for "Euclidean Distance"

showing 10 items of 45 documents

Distributed and proximity-constrained C-means for discrete coverage control

2018

In this paper we present a novel distributed coverage control framework for a network of mobile agents, in charge of covering a finite set of points of interest (PoI), such as people in danger, geographically dispersed equipment or environmental landmarks. The proposed algorithm is inspired by C-Means, an unsupervised learning algorithm originally proposed for non-exclusive clustering and for identification of cluster centroids from a set of observations. To cope with the agents' limited sensing range and avoid infeasible coverage solutions, traditional C-Means needs to be enhanced with proximity constraints, ensuring that each agent takes into account only neighboring PoIs. The proposed co…

FOS: Computer and information sciences0209 industrial biotechnologyControl and OptimizationComputer scienceDistributed computing02 engineering and technologyIndustrial and Manufacturing EngineeringSet (abstract data type)Disaster reliefComputer Science - Robotics020901 industrial engineering & automation0202 electrical engineering electronic engineering information engineeringDecision Sciences (miscellaneous)Cluster analysisData fusion processPoints of interest(poi)Sensing rangesNon-exclusive clusteringData fusionDisaster preventionSensor fusionEuclidean distanceCoverage controlIdentification (information)Range (mathematics)Information concerningRanking020201 artificial intelligence & image processingMobile agentsRobotics (cs.RO)Cluster centroids
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Historical Origins of the nine-point conic -- The Contribution of Eugenio Beltrami

2020

In this paper, we examine the evolution of a specific mathematical problem, i.e. the nine-point conic, a generalisation of the nine-point circle due to Steiner. We will follow this evolution from Steiner to the Neapolitan school (Trudi and Battaglini) and finally to the contribution of Beltrami that closed this journey, at least from a mathematical point of view (scholars of elementary geometry, in fact, will continue to resume the problem from the second half of the 19th to the beginning of the 20th century). We believe that such evolution may indicate the steady development of the mathematical methods from Euclidean metric to projective, and finally, with Beltrami, with the use of quadrat…

HistoryMathematical problemMathematics - History and OverviewGeneral MathematicsHistory and Overview (math.HO)06 humanities and the artsAlgebraic geometrySettore MAT/04 - Matematiche Complementari01A55 51-03AlgebraEuclidean distanceEugenio Beltrami060105 history of science technology & medicineConic sectionQuadratic transformationsNine-point conicFOS: Mathematics0601 history and archaeologyNine-point conicPoint (geometry)Development (differential geometry)Period (music)Mathematics
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Uniform continuity of quasiconformal mappings and conformal deformations

2008

We prove that quasiconformal maps onto domains satisfying a suitable growth condition on the quasihyperbolic metric are uniformly continuous even when both domains are equipped with internal metric. The improvement over previous results is that the internal metric can be used also in the image domain. We also extend this result for conformal deformations of the euclidean metric on the unit ball of R n \mathbb {R}^n .

Image domainUnit sphereEuclidean distanceQuasiconformal mappingUniform continuityExtremal lengthMetric (mathematics)Mathematical analysisConformal mapGeometry and TopologyMathematicsConformal Geometry and Dynamics of the American Mathematical Society
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Lung CT Image Registration through Landmark-constrained Learning with Convolutional Neural Network

2020

Accurate registration of lung computed tomography (CT) image is a significant task in thorax image analysis. Recently deep learning-based medical image registration methods develop fast and achieve promising performance on accuracy and speed. However, most of them learned the deformation field through intensity similarity but ignored the importance of aligning anatomical landmarks (e.g., the branch points of airway and vessels). Accurate alignment of anatomical landmarks is essential for obtaining anatomically correct registration. In this work, we propose landmark constrained learning with a convolutional neural network (CNN) for lung CT registration. Experimental results of 40 lung 3D CT …

LandmarkSimilarity (geometry)medicine.diagnostic_testArtificial neural networkComputer sciencebusiness.industryDeep learningImage registrationComputed tomographyThoraxConvolutional neural network030218 nuclear medicine & medical imagingEuclidean distance03 medical and health sciences0302 clinical medicinemedicineComputer visionNeural Networks ComputerTomographyArtificial intelligenceTomography X-Ray ComputedbusinessLung030217 neurology & neurosurgery2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)
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An overdetermined problem for the anisotropic capacity

2015

We consider an overdetermined problem for the Finsler Laplacian in the exterior of a convex domain in \({\mathbb {R}}^{N}\), establishing a symmetry result for the anisotropic capacitary potential. Our result extends the one of Reichel (Arch Ration Mech Anal 137(4):381–394, 1997), where the usual Newtonian capacity is considered, giving rise to an overdetermined problem for the standard Laplace equation. Here, we replace the usual Euclidean norm of the gradient with an arbitrary norm H. The resulting symmetry of the solution is that of the so-called Wulff shape (a ball in the dual norm \(H_0\)).

Laplace's equation35A2335B65Applied Mathematics010102 general mathematicsMathematical analysisAnalysi31B15Minkowski inequality01 natural sciences010101 applied mathematicsOverdetermined systemEuclidean distanceMathematics - Analysis of PDEs35J25Norm (mathematics)FOS: Mathematics0101 mathematicsAnisotropyLaplace operatorAnalysisDual normMathematicsAnalysis of PDEs (math.AP)
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A Monge-Kantorovich mass transport problem for a discrete distance

2011

This paper is concerned with a Monge-Kantorovich mass transport problem in which in the transport cost we replace the Euclidean distance with a discrete distance. We fix the length of a step and the distance that measures the cost of the transport depends of the number of steps that is needed to transport the involved mass from its origin to its destination. For this problem we construct special Kantorovich potentials, and optimal transport plans via a nonlocal version of the PDE formulation given by Evans and Gangbo for the classical case with the Euclidean distance. We also study how these problems, when rescaling the step distance, approximate the classical problem. In particular we obta…

Mass transportMass transportMonge-Kantorovich problemsNonlocal problems010102 general mathematicsMathematical analysisConstruct (python library)01 natural sciences010101 applied mathematicsEuclidean distance0101 mathematicsAnalysisMathematicsMonge–Kantorovich problems
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A New Iterative Estimation Procedure for the Localization of Passive Stationary Objects from Received RF Signals in Indoor Environments

2019

This paper deals with the localization of passive stationary objects from the received radio- frequency (RF) signals in 3-dimensional (3D) indoor environments. Each object located in the 3D indoor environment is modelled by a single point scatterer. The propagation space is equipped with a multiple-input multiple-output (MIMO) wireless communication system. The employed channel model is flexible and allows to have a line-of-sight (LOS) component as well as single- and double- bounce scattering components. Here, we present a new accurate iterative estimation technique for computing the optimal coordinates as well as the number of the main stationary objects (scatterers) in indoor areas. The …

Matching (graph theory)Computer scienceScatteringMIMO020206 networking & telecommunications02 engineering and technologyCorrelation function (quantum field theory)Transfer functionEuclidean distance0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingRadio frequencyAlgorithmCommunication channel2019 IEEE 90th Vehicular Technology Conference (VTC2019-Fall)
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A New Iterative Procedure for the Localization of a Moving Object/Person in Indoor Areas from Received RF Signals

2019

This paper presents a new iterative estimation method to localize a single moving object or person in non-stationary 3-dimensional (3D) indoor environments from received radiofrequency (RF) signals. The moving object/person is modelled by a moving single point scatterer. The indoor space is equipped with a multiple-input multiple-output (MIMO) communication system. This work starts by introducing a new geometrical channel model which considers the effects of the line-of-sight (LOS) component, the fixed objects located in a room, and the moving object (point scatterer). Then, we present an iterative estimation technique for computing the time-variant (TV) coordinates of the moving scatterer.…

Matching (graph theory)business.industryComputer science05 social sciencesMIMO050801 communication & media studies020206 networking & telecommunications02 engineering and technologyObject (computer science)Communications systemTransfer functionEuclidean distance0508 media and communicationsPosition (vector)0202 electrical engineering electronic engineering information engineeringComputer visionArtificial intelligenceRadio frequencybusiness2019 International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob)
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Regularity of sets with constant horizontal normal in the Engel group

2012

In the Engel group with its Carnot group structure we study subsets of locally finite subRiemannian perimeter and possessing constant subRiemannian normal. We prove the rectifiability of such sets: more precisely we show that, in some specific coordinates, they are upper-graphs of entire Lipschitz functions (with respect to the Euclidean distance). However we find that, when they are written as intrinsic horizontal upper-graphs with respect to the direction of the normal, then the function defining the set might even fail to be continuous. Nevertheless, we can prove that one can always find other horizontal directions for which the set is the intrinsic horizontal upper-graph of a function t…

Mathematics - Differential GeometryStatistics and ProbabilityClass (set theory)Pure mathematicsStructure (category theory)Group Theory (math.GR)Analysis; Statistics and Probability; Geometry and Topology; Statistics Probability and UncertaintyMathematics - Analysis of PDEsMathematics - Metric GeometryFOS: MathematicsMathematics::Metric GeometryEngel groupMathematicsta111StatisticsCarnot groupMetric Geometry (math.MG)Function (mathematics)Lipschitz continuityEuclidean distanceDifferential Geometry (math.DG)Probability and UncertaintyGeometry and TopologyStatistics Probability and UncertaintyConstant (mathematics)Mathematics - Group TheoryAnalysisAnalysis of PDEs (math.AP)Communications in Analysis and Geometry
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A short proof of the infinitesimal Hilbertianity of the weighted Euclidean space

2020

We provide a quick proof of the following known result: the Sobolev space associated with the Euclidean space, endowed with the Euclidean distance and an arbitrary Radon measure, is Hilbert. Our new approach relies upon the properties of the Alberti-Marchese decomposability bundle. As a consequence of our arguments, we also prove that if the Sobolev norm is closable on compactly-supported smooth functions, then the reference measure is absolutely continuous with respect to the Lebesgue measure.

Mathematics::Functional AnalysisPure mathematicsLebesgue measureEuclidean spaceGeneral Mathematics010102 general mathematicsAbsolute continuity01 natural sciencesMeasure (mathematics)Functional Analysis (math.FA)Mathematics - Functional AnalysisdifferentiaaligeometriaEuclidean distanceSobolev spaceNorm (mathematics)0103 physical sciencesRadon measureFOS: Mathematics010307 mathematical physics0101 mathematicsfunktionaalianalyysi53C23 46E35 26B05MathematicsComptes Rendus. Mathématique
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