http://www.cnr.it/ontology/cnr/individuo/prodotto/ID278890
On kNN classification and local feature based similarity functions (Contributo in volume (capitolo o saggio))
- Type
- Label
- On kNN classification and local feature based similarity functions (Contributo in volume (capitolo o saggio)) (literal)
- Anno
- 2013-01-01T00:00:00+01:00 (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#doi
- 10.1007/978-3-642-29966-7_15 (literal)
- Alternative label
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
- Amato G., Falchi F. (literal)
- Pagina inizio
- Pagina fine
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#altreInformazioni
- Progetto: VISTO Tuscany - VIsual Support to Interactive TOurism in Tuscany
Grant agreement: D57E09000050007
Third International Conference, ICAART 2011 (Rome, Italy, January, 28-30 2011). Revised Selected Papers (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#url
- http://link.springer.com/chapter/10.1007%2F978-3-642-29966-7_15 (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#titoloVolume
- Agents and Artificial Intelligence (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#volumeInCollana
- Note
- PuMa (literal)
- Scopu (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
- CNR-ISTI, Pisa, Italy; CNR-ISTI, Pisa, Italy. (literal)
- Titolo
- On kNN classification and local feature based similarity functions (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#isbn
- 978-3-642-29965-0 (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#curatoriVolume
- Agents and Artificial Intelligence (literal)
- Abstract
- In this paper we consider the problem of image content recognition and we address it by using local features and kNN based classification strategies. Specifically, we define a number of image similarity functions relying on local features comparing their performance when used with a kNN classifier. Furthermore, we compare the whole image similarity approach with a novel two steps kNN based classification strategy that first assigns a label to each local feature in the document to be classified and then uses this information to assign a label to the whole image. We perform our experiments solving the task of recognizing landmarks in photos. (literal)
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