Autor segons l'article: Sole-Ribalta, Albert; Serratosa, Francesc; Sanfeliu, Alberto
Departament: Enginyeria Informàtica i Matemàtiques
Autor/s de la URV: Serratosa Casanelles, Francesc d'Assís / Solé Ribalta, Albert
Paraules clau: Sets Recognition Graph similarity Graph edit distance Graph edit costs Graph distance Error-correcting graph isomorphism Computation Algorithm
Resum: We model the edit distance as a function in a labeling space. A labeling space is an Euclidean space where coordinates are the edit costs. Through this model, we define a class of cost. A class of cost is a region in the labeling space that all the edit costs have the same optimal labeling. Moreover, we characterize the distance value through the labeling space. This new point of view of the edit distance gives us the opportunity of defining some interesting properties that are useful for a better understanding of the edit distance. Finally, we show the usefulness of these properties through some applications.
Àrees temàtiques: Software Engenharias iv Educação Computer vision and pattern recognition Computer science, artificial intelligence Ciência da computação Astronomia / física Artificial intelligence
Accès a la llicència d'ús: https://creativecommons.org/licenses/by/3.0/es/
Adreça de correu electrònic de l'autor: albert.sole@urv.cat francesc.serratosa@urv.cat
Identificador de l'autor: 0000-0002-2953-5338 0000-0001-6112-5913
Data d'alta del registre: 2024-10-12
Versió de l'article dipositat: info:eu-repo/semantics/acceptedVersion
Enllaç font original: https://www.worldscientific.com/doi/abs/10.1142/S021800141260004X
URL Document de llicència: https://repositori.urv.cat/ca/proteccio-de-dades/
Referència a l'article segons font original: International Journal Of Pattern Recognition And Artificial Intelligence. 26 (5): 1260004-
Referència de l'ítem segons les normes APA: Sole-Ribalta, Albert; Serratosa, Francesc; Sanfeliu, Alberto (2012). ON THE GRAPH EDIT DISTANCE COST: PROPERTIES AND APPLICATIONS. International Journal Of Pattern Recognition And Artificial Intelligence, 26(5), 1260004-. DOI: 10.1142/S021800141260004X
DOI de l'article: 10.1142/S021800141260004X
Entitat: Universitat Rovira i Virgili
Any de publicació de la revista: 2012
Tipus de publicació: Journal Publications