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BMVC
2010
13 years 6 months ago
2010
Linear subspace representations of appearance variation are pervasive in computer vision. In this paper we address the problem of robustly matching them (computing the similarity ...
JMLR
2006
13 years 8 months ago
2006
In order to perform object recognition it is necessary to learn representations of the underlying components of images. Such components correspond to objects, object-parts, or fea...
IJCNN
2007
IEEE
14 years 2 months ago
2007
IEEE
— Optimal component analysis (OCA) uses a stochastic gradient optimization process to find optimal representations for general criteria and shows good performance in object reco...
CVPR
2005
IEEE
14 years 10 months ago
2005
IEEE
A new class of kernels for object recognition based on local image feature representations are introduced in this paper. These kernels satisfy the Mercer condition and incorporate...
ICIP
2009
IEEE
13 years 6 months ago
2009
IEEE
In this paper a new solution for the single sample problem in low resolution face recognition is proposed. The proposed solution uses an enhanced virtual pose generation method to...