In this paper, we introduce the use of nonlinear dimension reduction for the analysis of functional neuroimaging datasets. Using a Laplacian Embedding approach, we show the power ...
Abstract. The increase in accessability to on-line visual data has promoted the interest in browsing and retrieval of images from Image Databases. Current approaches assume either ...
An experimental comparison of `Edge-Element Association (EEA)' and `Marginalized Contour (MCo)' approaches for 3D modelbased vehicle tracking in traffic scenes is complic...
Hendrik Dahlkamp, Arthur E. C. Pece, Artur Ottlik,...
Approaches analyzing local characteristics of an image prevail in image restoration. However, they are less effective in cases of restoring images degraded by large size point spr...
The automatic annotation of images presents a particularly complex problem for machine learning researchers. In this work we experiment with semantic models and multi-class learnin...