We address the problem of automatically learning object models for recognition and pose estimation. In contrast to the traditional approach, we formulate the recognition problem a...
Organizations have become increasingly dependent on computing systems to achieve their business goals. The performance of these systems in terms of response times and cost has a m...
M. Qin, R. Lee, Asham El Rayess, Vidar Vetland, Je...
Attentive vision is characterized by selective sensing in space and time as well as selective processing with respect to a specic task. Selection in space involves the splitting ...
This paper presents a novel hybrid method combining genetic programming and decision tree learning. The method starts by estimating a benchmark level of reasonable accuracy, based ...
Abstract--Limited preemption scheduling has been introduced as a viable alternative to non-preemptive and fullypreemptive scheduling when reduced blocking times need to coexist wit...
Marko Bertogna, Giorgio C. Buttazzo, Mauro Marinon...