We present a robust method for extracting 3D centerlines from volumetric datasets. We start from a 2D skeletonization method to locate voxels centered with respect to three orthog...
Many real problems can be modelled as robust shortest path problems on digraphs with interval costs, where intervals represent uncertainty about real costs and a robust path is not...
This paper describes new default unification, lenient default unification. It works efficiently, and gives more informative results because it maximizes the amount of information ...
This paper proposes a novel approach for robust face detection based on our enhanced Hausdorff Distance (HD). A major aim of this research is to achieve a highly efficient method ...
Principal components and canonical correlations are at the root of many exploratory data mining techniques and provide standard pre-processing tools in machine learning. Lately, p...