Accurate statistical tests for smooth classification images. - Archive ouverte HAL
Article Dans Une Revue Journal of Vision Année : 2005

Accurate statistical tests for smooth classification images.

Résumé

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.
Fichier principal
Vignette du fichier
1.full_11_.pdf (598.82 Ko) Télécharger le fichier
Origine Fichiers éditeurs autorisés sur une archive ouverte
Loading...

Dates et versions

hal-00806723 , version 1 (02-04-2013)

Identifiants

Citer

Alan Chauvin, Keith J. Worsley, Philippe G. Schyns, Martin Arguin, Frédéric Gosselin. Accurate statistical tests for smooth classification images.. Journal of Vision, 2005, 5 (9), pp.659-667. ⟨10.1167/5.9.1⟩. ⟨hal-00806723⟩
267 Consultations
352 Téléchargements

Altmetric

Partager

More