The approximation of surfaces to scattered data is an important problem encountered in a variety of scientific applications, such as reverse engineering, computer vision, computer...
The paper introduces a framework for clustering data objects in a similarity-based context. The aim is to cluster objects into a given number of classes without imposing a hard pa...
We rework parts of the classical relational theory when the underlying domain is a structure with some interpreted operations that can be used in queries. We identify parts of the...
Quantitative generalizations of classical languages, which assign to each word a real number instead of a boolean value, have applications in modeling resource-constrained computat...
Krishnendu Chatterjee, Laurent Doyen, Thomas A. He...
This paper presents a method for the reconstruction of a regularlysampled image from its irregularly-spaced samples. Such reconstruction is often needed in image processing and co...