We present a novel approach for measuring image similarity based on the composition of parts. The measure identifies common subregions between the images at multiple sizes, and e...
In this paper we introduce multiresolution analysis (MRA) algorithmsintendedto be used in scientific visualization,and basedon a non-nestedset ofapproximatingspaces. The need for ...
In this paper, we propose a new application of Bayesian language model based on Pitman-Yor process for information retrieval. This model is a generalization of the Dirichlet distr...
Abstract. We propose a new generative model, and a new image similarity kernel based on a linked hierarchy of probabilistic segmentations. The model is used to efficiently segment ...
We consider mixtures of parametric densities on the positive reals with a normalized generalized gamma process (Brix, 1999) as mixing measure. This class of mixtures encompasses t...
Raffaele Argiento, Alessandra Guglielmi, Antonio P...