The nearest neighbor (NN) classifier is well suited for generic object recognition. However, it requires storing the complete training data, and classification time is linear in ...
Ferid Bajramovic, Frank Mattern, Nicholas Butko, J...
We recently introduced the watershed cuts, a notion of watershed in edge-weighted graphs. In this paper, our main contribution is a thinning paradigm from which we derive three alg...
Jean Cousty, Gilles Bertrand, Laurent Najman, Mich...
— Ensembles are often capable of greater predictive accuracy than any of their individual members. One key attribute of ensembles’ success is the notion of diversity. However, ...
Abstract. We recently introduced the watershed cuts, a notion of watershed in edge-weighted graphs. In this paper, we propose a new thinning paradigm to compute them. More precisel...
Jean Cousty, Gilles Bertrand, Laurent Najman, Mich...
Three-dimensional animation sequences are often represented by a discrete set of compatible triangle meshes. In order to create the illusion of a smooth motion, a sequence usually...
Tim Winkler, Jens Drieseberg, Kai Hormann, Alexand...