Optimally designing the location of training input points (active learning) and choosing the best model (model selection) are two important components of supervised learning and h...
— The characteristics of wireless packet loss have been studied extensively. Most efforts focus on the temporal loss characteristics at individual stations. For multicast protoco...
— This paper presents an adaptive causal model method (adaptive CMM) for fault diagnosis and recovery in complex multi-robot teams. We claim that a causal model approach is effec...
Crosscutting concerns are pervasive in embedded software, because of the various constraints imposed by the environment and the stringent QOS requirements on the system. This pape...
Thomas Cottenier, Aswin van den Berg, Tzilla Elrad
This paper proposes a discriminative framework for efficiently aligning images. Although conventional Active Appearance Models (AAM)-based approaches have achieved some success, t...