— An important goal in multiobjective optimisation is to find a good set of non-dominated solutions that is both well-distributed and well-converged. Most multiobjective optimis...
We address the problem of model based recognition. Our aim is to localize and recognize road vehicles from monocular images in calibrated scenes. A deformable 3D geometric vehicle...
Subspace clustering (also called projected clustering) addresses the problem that different sets of attributes may be relevant for different clusters in high dimensional feature sp...
We present a methodology for generating optimized architectures for data bandwidth constrained extensible processors. We describe a scalable Integer Linear Programming (ILP) formu...
Kubilay Atasu, Robert G. Dimond, Oskar Mencer, Way...
Conventionally, the use of virtual memory in real-time systems has been avoided, the main reason being the difficulties it provides to timing analysis. However, there is a trend ...