id: 02180597
dt: a
an: 02180597
au: Feraud, Raphaël
ti: PCA, neural networks and estimation for face detection.
so: Wechsler, Harry (ed.) et al., Face recognition. From theory to
    applications. Proceedings of the NATO ASI, Stirling, Scotland, GB, June
    23 - July 4, 1997. Berlin: Springer (ISBN 3-540-64410-5). NATO ASI
    Ser., Ser. F, Comput. Syst. Sci. 163, 424-432 (1998).
py: 1998
pu: Berlin: Springer
la: EN
cc: I.5.4
ut: 
ci: 
li: 
ab: Summary: A generative neural network model, constrained by non-face
    examples chosen by an iterative algorithm, is applied to face
    detection. To extend the detection ability in orientation and to
    decrease the number of false alarms, different combinations of networks
    are tested: ensemble, conditional ensemble and conditional mixture of
    networks. The use of a conditional mixture of networks obtains better
    results on different benchmark face databases than state-of-the-art.
rv: