For the evaluation of web sites a multitude of metrics are available. Apart from general statistical measures, success metrics reflect the degree to which a web site achieves its...
Carsten Stolz, Maximilian Viermetz, Michal Skubacz...
We present a new approach to learning image metrics. The main advantage of our method lies in a formulation that requires only a few pairwise examples. Apparently, based on the li...
Observing the evolution of very large software systems is difficult because of the sheer amount of information that needs to be analyzed and because the changes performed in the s...
Martin Pinzger, Harald Gall, Michael Fischer, Mich...
Proximity searching consists in retrieving from a database, objects that are close to a query. For this type of searching problem, the most general model is the metric space, where...
The main theme of this paper is to develop a novel eigenvalue optimization framework for learning a Mahalanobis metric. Within this context, we introduce a novel metric learning a...