Exploració per tema "graph matching"
Ara es mostren els items 1-6 de 6
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A comparison between two representatives of a set of graphs: median vs barycenter graph
(Springer Verlag, 2010)
Text en actes de congrés
Accés obertIn this paper we consider two existing methods to generate a representative of a given set of graphs, that satisfy the following two conditions. On the one hand, that they are applicable to graphs with any kind of labels ... -
A generic framework for median graph computation based on a recursive embedding approach
(2011)
Article
Accés obertThe median graph has been shown to be a good choice to obtain a representative of a set of graphs. However, its computation is a complex problem. Recently, graph embedding into vector spaces has been proposed to obtain ... -
A multi-resolution approach for spectral graph matching
(Universitat Politècnica de Catalunya, 2018-08)
Treball Final de Grau
Accés obertThis project presents an innovative way of solving the inexact graph matching problem of weighted graphs. The goal is to find the correspondence between the vertices of two similar graphs. This problem is solved through a ... -
Compact form of the pseudo-inverse matrix in the approximation of a star graph using the conductance electrical model (CEM)
(2012)
Text en actes de congrés
Accés restringit per política de l'editorialThe Conductance Electrical Model (CEM) translate a graph into a circuit. After applying the model, in many cases, it is necessary to approximate the circuit obtained by a star circuit and this requires the calculation ... -
Non-rigid graph registration using active testing search
(2015)
Article
Accés obertWe present a new approach for matching sets of branching curvilinear structures that form graphs embedded in R^2 or R^3 and may be subject to deformations. Unlike earlier methods, ours does not rely on local appearance ... -
Robust non-rigid registration of 2D and 3D graphs
(2012)
Text en actes de congrés
Accés obertWe present a new approach to matching graphs embedded in R2 or R3. Unlike earlier methods, our approach does not rely on the similarity of local appearance features, does not require an initial alignment, can handle partial ...