ID | 47001 |
JaLCDOI | |
Sort Key | 8
|
FullText URL | |
Author | |
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
|