Background: Multicategory Support Vector Machines (MC-SVM) are powerful classification systems with excellent performance in a variety of data classification problems. Since the p...
We study the problem of classifying images into a given, pre-determined taxonomy. The task can be elegantly translated into the structured learning framework. Structured learning, ...
The Space Weather Modeling Framework (SWMF) aims at providing software architecture for integrated modeling of different domains of Sun-Earth system and high-performance physics-b...
Ovsei Volberg, Tamas I. Gombosi, Kenneth G. Powell...
Background: The need to build a tool to facilitate the quick creation and editing of models encoded in the Systems Biology Markup language (SBML) has been growing with the number ...
Nicolas Rodriguez, Marco Donizelli, Nicolas Le Nov...
We propose machine learning methods for the estimation of deformation fields that transform two given objects into each other, thereby establishing a dense point to point correspo...