Title
Algorithmic modelling for performance evaluation
Abstract
IntroductionMany of the vision algorithms described in the literature are tested on a very small number of images. It isgenerally agreed that algorithms need to be tested on much larger numbers if any statistically meaningful measureof performance is to be obtained. However, these tests are rarely performed; in our opinion this is normally dueto two reasons. Firstly, the scale of the testing problem when high levels of reliability are sought, since it isthe proportion of failure cases...
Year
DOI
Venue
1997
10.1007/s001380050043
Mach. Vis. Appl.
Keywords
Field
DocType
algorithmic modelling,performance evaluation
Computer vision,Computer science,Artificial intelligence
Journal
Volume
Issue
ISSN
9
5-6
0932-8092
Citations 
PageRank 
References 
13
1.25
13
Authors
3
Name
Order
Citations
PageRank
Patrick Courtney1202.74
neil a thacker2192.38
Adrian F. Clark322172.99