At present, link layer topology discovery methodologies rely on protocols that are not universally available, such as SNMP. Such methodologies can only be applied to a subset of al...
We wish to endow the manifold M of smooth curves in lRn with a Riemannian metric that allows us to treat continuous morphs (homotopies) between two curves c0 and c1 as trajectorie...
Abstract. We extend an information metric from intermodality (2image) registration to multimodality (multiple-image) registration so that we can simultaneously register multiple im...
Many computer vision and pattern recognition algorithms are very sensitive to the choice of an appropriate distance metric. Some recent research sought to address a variant of the...
The performance of many supervised and unsupervised learning algorithms is very sensitive to the choice of an appropriate distance metric. Previous work in metric learning and ada...