Data sets with a large number of nominal variables, some with high cardinality, are becoming increasingly common and need to be explored. Unfortunately, most existing visual explo...
Geraldine E. Rosario, Elke A. Rundensteiner, David...
Abstract— An autonomous mobile robot must face the correspondence or data association problem in order to carry out tasks like place recognition or unknown environment mapping. I...
David Aldavert, Arnau Ramisa, Ricardo Toledo, Ramo...
This paper presents a novel tone mapping framework. First, we introduce a tone mapping fidelity principle which explicitly stipulates that tone-mapped image data should not only b...
Topology preserving mappings are great tools for data visualization and inspection in large datasets. This research presents a combination of several topology preserving mapping mo...
Understanding high-dimensional real world data usually requires learning the structure of the data space. The structure maycontain high-dimensional clusters that are related in co...