The automatic detection of runway hazards from a moving platform under poor visibility conditions is a multifaceted problem. The general approach that we use relies on looking at ...
We propose a flexible geometric algorithm for placing arbitrary cracks and incisions on tetrahedralized deformable objects. Although techniques based on remeshing can also accomm...
This paper presents the dynamics of multi-agent reinforcement learning in multiple state problems. We extend previous work that formally modelled the relation between reinforcemen...
We present a novel detailed placement technique that accounts for systematic through-pitch variations to reduce leakage. Leakage depends nearly exponentially on linewidth (gate le...
Multi-label learning deals with data associated with multiple labels simultaneously. Previous work on multi-label learning assumes that for each instance, the "full" lab...