— This paper presents a distributed Maximum A Posteriori (MAP) estimator for multi-robot Cooperative Localization (CL). As opposed to centralized MAP-based CL, the proposed algor...
Esha D. Nerurkar, Stergios I. Roumeliotis, Agostin...
This paper presents a learning object broker that aims to mediate and control accesses to learning objects offered by the “Learning Resource Exchange”. This broker provides a u...
A flexible approach for structuring and merging distributed learning object is presented. At the basis of this approach there is a formal representation of a learning object, call...
E-learning is fueling efforts to integrate distributed learning systems in organisations. This paper provides a case study of integrated work and learning processes in a customer ...
Optimization algorithms for large margin multiclass recognizers are often too costly to handle ambitious problems with structured outputs and exponential numbers of classes. Optim...