— Many real-world dynamic optimisation problems have constraints, and in certain cases not only the objective function changes over time, but the constraints also change as well....
Using a saliency measure based on the global property of contour closure, we have developed a method that reliably segments out salient contours bounding unknown objects from real...
Shyjan Mahamud, Karvel K. Thornber, Lance R. Willi...
In human perception, convex surfaces have a strong tendency to be perceived as the "figure". Convexity has a stronger influence on figural organization than other global...
As the scale of modern sensor networks continues to grow, energy consumption, scalability and routing efficiency are becoming key design challenges. Network management plays an im...
Reinforcement learning is a paradigm under which an agent seeks to improve its policy by making learning updates based on the experiences it gathers through interaction with the en...