Abstract. Having effective and efficient methods to get access to desired images is essential nowadays with the huge amount of digital images. This paper presents an analogy betwee...
Ismail Elsayad, Jean Martinet, Thierry Urruty, Cha...
In this paper, we propose a novel non-parametric clustering method based on non-parametric local shrinking. Each data point is transformed in such a way that it moves a specific ...
Abstract. There is a natural norm associated with a starting point of the homogeneous selfdual (HSD) embedding model for conic convex optimization. In this norm two measures of the...
Soft constraints are a generalization of classical constraints, where constraints and/or partial assignments are associated to preference or importance levels, and constraints are...
Abstract-- Volumetric datasets are often modeled using a multiresolution approach based on a nested decomposition of the domain into a polyhedral mesh. Nested tetrahedral meshes ge...