Pregled bibliografske jedinice broj: 1157843
Methods for assessing similarity of random sets
Methods for assessing similarity of random sets // ISIVC 2020: 10th International Symposium on Signal, Image, Video and Communications
Saint-Étienne, Francuska: Institute of Electrical and Electronics Engineers (IEEE), 2021. str. 1-6 doi:10.1109/ISIVC49222.2021.9487547 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 1157843 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Methods for assessing similarity of random sets
Autori
Debayle, Johan ; Gotovac Đogaš, Vesna ; Helisova, Katerina ; Stanek, Jakub
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
ISIVC 2020: 10th International Symposium on Signal, Image, Video and Communications
/ - : Institute of Electrical and Electronics Engineers (IEEE), 2021, 1-6
ISBN
978-172817668-0
Skup
10th International Symposium on Signal, Image, Video and Communications, ISIVC 2020
Mjesto i datum
Saint-Étienne, Francuska, 07.04.2021. - 09.04.2021
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
connected component ; envelope test ; morphological skeleton ; N-distance ; neighborhood ; random set ; realisation ; similarity ; support function
Sažetak
The paper concerns an overview of recently developed methods for comparing two realisations of random sets. The methods are based on deriving a sample of functions from each realisation, which describe the realisation shape, and consequent testing of equality of their probability distributions. The methods are briefly described, their advantages and disadvantages are mentioned and the conclusions are justified by a simulation study.
Izvorni jezik
Engleski
Znanstvena područja
Matematika
POVEZANOST RADA
Ustanove:
Prirodoslovno-matematički fakultet, Split
Profili:
Vesna Gotovac Đogaš
(autor)
Citiraj ovu publikaciju:
Časopis indeksira:
- Web of Science Core Collection (WoSCC)
- Conference Proceedings Citation Index - Science (CPCI-S)
- Scopus