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ID 47001
JaLCDOI
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Abstract
Contrasting "geometric fitting", for which the noise level is taken as the asymptotic variable, with "statistical inference", for which the number of observations is taken as the asymptotic variable, we give a new definition of the "geometric AIC" and the "geometric MDL" as the counterparts of Akaike's AIC and Rissanen's MDL. We discuss various theoretical and practical problems that emerge from our analysis. Finally, we show, doing experiments using synthetic and real images, that the geometric MDL does not necessarily outperform the geometric AIC and that the two criteria have very different characteristics.
Publication Title
Memoirs of the Faculty of Engineering, Okayama University
Published Date
2001-12
Volume
volume36
Issue
issue1
Publisher
Faculty of Engineering, Okayama University
Start Page
59
End Page
77
ISSN
0475-0071
NCID
AA10699856
Content Type
Departmental Bulletin Paper
OAI-PMH Set
岡山大学
language
英語
File Version
publisher
NAID
Eprints Journal Name
mfe