Much of recent research in representation schemes for solid modeling was focused on the extension of boundary representations to support non-manifold topologies. We introduce here...
A new algorithm is presented which approximates the perceived visual similarity between images. The images are initially transformed into a feature space which captures visual str...
Linear regression models for de facto exchange rate regime classification are complemented by inferential techniques for evaluating the stability of the regimes. To simultaneously...
An image representation framework based on structured sparse model selection is introduced in this work. The corresponding modeling dictionary is comprised of a family of learned ...
Trees and graphs are widely used to model biological databases. Providing efficient algorithms to support tree-based or graph-based querying is therefore an important issue. In th...