Automatic Classification of Handsegmented Image Parts using Differential Evolution (Contributo in atti di convegno)

Type

• Prodotto della ricerca (Classe)
• Contributo in atti di convegno (Classe)

Label

• Automatic Classification of Handsegmented Image Parts using Differential Evolution (Contributo in atti di convegno) (literal)

Anno

• 2006-01-01T00:00:00+01:00 (literal)

Alternative label

• I. De Falco 1; A. Della Cioppa 2; E. Tarantino 1 (2006)
  Automatic Classification of Handsegmented Image Parts using Differential Evolution
  in EvoWorkshops 2006, Valencia, Spain
  (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori

• I. De Falco 1; A. Della Cioppa 2; E. Tarantino 1 (literal)

Pagina inizio

• 403 (literal)

Pagina fine

• 414 (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#volumeInCollana

• 3907 (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#pagineTotali

• 12 (literal)

Note

• Scopus, ISI Web of Science (WOS) (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni

• 1 Institute of High Performance Computing and Networking, National Research Council of Italy (ICAR-CNR); 2 Department of Computer Science and Electrical Engineering, University of Salerno (literal)

Titolo

• Automatic Classification of Handsegmented Image Parts using Differential Evolution (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#isbn

• 9-783-540-33237-4 (literal)

Abstract

• Differential Evolution, a version of an Evolutionary Algorithm, is used to perform automatic classification of handsegmented image parts collected in a seven-class database. Our idea is to exploit it to find the positions of the class centroids in the search space such that for any class the average distance of instances belonging to that class from the relative class centroid is minimized. The performance of the resulting best individual is computed in terms of error rate on the testing set. Then, such a performance is compared against those of other ten classification techniques well known in literature. Results show the effectiveness of the approach in solving the classification task. (literal)

Editore

• Springer (Editore)

Prodotto di

• Institute for high performance computing and networking (ICAR) (Istituto)

Autore CNR

• ERNESTO TARANTINO (Unità di personale interno)
• IVANOE DE FALCO (Unità di personale interno)

Incoming links:

Prodotto

• Institute for high performance computing and networking (ICAR) (Istituto)

Autore CNR di

• ERNESTO TARANTINO (Unità di personale interno)
• IVANOE DE FALCO (Unità di personale interno)

Editore di

• Springer (Editore)