An attention based similarity measure used to identify image clusters

Autor:	Fred Stentiford, Adetokunbo Bamidele
Rok vydání:	2005
Předmět:	Set (abstract data type) ComputingMethodologies_PATTERNRECOGNITION business.industry Computer Science::Computer Vision and Pattern Recognition Pattern recognition Artificial intelligence Similarity measure business Class (biology) Camera phone Image (mathematics) Mathematics
Zdroj:	2nd European Workshop on the Integration of Knowledge, Semantics and Digital Media Technology (EWIMT 2005).
DOI:	10.1049/ic.2005.0712
Popis:	This paper outlines a new attention based similarity measure and describes an application to the problem of identifying image clusters in a 4 class problem. A diverse set of images was obtained using camera phones in 4 separate locations and classification performance was tested against the true location of the images. The approach promises to have application to the unsupervised extraction of unknown numbers of clusters in larger datasets.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::f317d805922ced2602893ca26efdba0b https://doi.org/10.1049/ic.2005.0712 Zobrazit plný text záznamu