Outliers in some Faces and non-Faces data
by Anna Bartkowiak
International Journal of Biometrics (IJBM), Vol. 2, No. 3, 2010

Abstract: We look for outliers in graphical data containing n = 6977 faces or non-faces images from Seung's collection. Our concern is: what kind of outliers may be found in such graphical data. To obtain the global geometrical characteristics, the Pseudo Grand Tour and Kohonens's self-organising maps are applied. We define as outliers those images which reproduce themselves badly from K principal components, with K denoting intrinsic dimension. The concept of mild and severe outliers, and own and alien principal components is also introduced.

Online publication date: Tue, 01-Jun-2010

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