Počet záznamů: 1  

Highly Robust Statistical Methods in Medical Image Analysis

  1. 1.
    SYSNO ASEP0369205
    Druh ASEPJ - Článek v odborném periodiku
    Zařazení RIVJ - Článek v odborném periodiku
    NázevHighly Robust Statistical Methods in Medical Image Analysis
    Tvůrce(i)Kalina, Jan (UIVT-O)
    Rozsah stran3 - 16
    Zdroj.dok.Biocybernetics and Biomedical Engineering - ISSN 0208-5216
    Poč.str.14 s.
    Jazyk dok.eng - angličtina
    Země vyd.PL - Polsko
    Klíč. slovarobust statistics ; classification ; faces ; robust image analysis ; forensic science
    Vědní obor RIVBB - Aplikovaná statistika, operační výzkum
    CEP1M06014 GA MŠk - Ministerstvo školství, mládeže a tělovýchovy
    CEZAV0Z10300504 - UIVT-O (2005-2011)
    UTISI000305102200001
    UT SCOPUS84861979582
    DOI10.1016/S0208-5216(12)70033-5
    AnotaceStandard multivariate statistical methods in medical applications are too sensitive to the assumption of multivariate normality and the presence of outliers in the data. This paper is devoted to robust statistical methods. In the context of medical image analysis they allow to solve the tasks of face detection and face recognition in a database of images. The results of the robust approaches in image analysis turn out to outperform those obtained with standard methods. Robust methods also have desirable properties appealing for practical applications, including dimension reduction and clear interpretability.
    PracovištěÚstav informatiky
    KontaktTereza Šírová, sirova@cs.cas.cz, Tel.: 266 053 800
    Rok sběru2013
    URLhttp://www.ibib.waw.pl/bbe/bbefulltext/BBE_32_2_003_FT.pdf