Document skew estimation is an important step in the process of document analysis. In this paper we discuss the properties of the distance transform of binarized documents and der...
Itay Bar Yosef, Nate Hagbi, Klara Kedem, Its'hak D...
Abstract. Median clustering extends popular neural data analysis methods such as the self-organizing map or neural gas to general data structures given by a dissimilarity matrix on...
Barbara Hammer, Alexander Hasenfuss, Fabrice Rossi
The ability of performance technology to keep pace with the growing complexity of parallel and distributed systems depends on robust performance frameworks that can at once provid...
Background: The ever increasing sizes of population genetic datasets pose great challenges for population structure analysis. The Tracy-Widom (TW) statistical test is widely used ...
This paper advocates a rigorously formal and compositional style for obtaining key performance and/or interface metrics of systems with real-time constraints. We propose a hierarc...
Alena Simalatsar, Yusi Ramadian, Kai Lampka, Simon...