The in-loop deblocking filter contains highly adaptive processing on both sample level and block edge level, which inevitably appears in the loop kernel of the algorithm. Therefor...
Active contours are adapted to image segmentation by energy minimization. The energies often exhibit local minima, requiring regularization. Such an a priori can be expressed as a...
Eric Debreuve, Michel Barlaud, Jean-Paul Marmorat,...
Storage management of multidimensional arrays aims at supporting the array model needed by applications and insuring fast execution of access operations. Current approaches to sto...
Sparsity is a desirable property in high dimensional learning. The 1-norm regularization can lead to primal sparsity, while max-margin methods achieve dual sparsity. Combining the...
In this paper we show that many kernel methods can be adapted to deal with indefinite kernels, that is, kernels which are not positive semidefinite. They do not satisfy Mercer...