Accurate statistical tests for smooth classification images.

Despite an obvious demand for a variety of statistical tests adapted to classification images, few have been proposed. We argue that two statistical tests based on random field theory (RFT) satisfy this need for smooth classification images. We illustrate these tests on classification images representative of the literature from F. Gosselin and P. G. Schyns (2001) and from A. B. Sekuler, C. M. Gaspar, J. M. Gold, and P. J. Bennett (2004). The necessary computations are performed using the Stat4Ci Matlab toolbox.

Références

Titre
Accurate statistical tests for smooth classification images.
Type de publication
Article de revue
Année de publication
2005
Revue
J Vis
Volume
5
Ticket
9
Pagination
659-67
Date de publication
2005 Oct 05
ISSN
1534-7362
Titre alternatif de la revue
J Vis
Soumis le 9 juin 2022