— Recent advances in machine learning and adaptive motor control have enabled efficient techniques for online learning of stationary plant dynamics and it’s use for robust pre...
Commodity computer systems contain more and more processor cores and exhibit increasingly diverse architectural tradeoffs, including memory hierarchies, interconnects, instructio...
The problem of estimating motion and structure from a sequence of images has been a major research theme in machine vision for many years and remains one of the most challenging o...
Mustafa Unel, Asif Sabanovic, Burak Yilmaz, Eray D...
Programs with irregular patterns of dynamic data structures and/or those with complicated control structures such as recursion are notoriously difficult to parallelize efficient...
Sheng Li, Amit Kashyap, Shannon K. Kuntz, Jay B. B...
Emotions have a functional relevance to learning and achievement. Not surprisingly then, affective diagnoses are an important aspect of expert human mentoring. Computerbased learni...