In this paper, we cast discriminative training problems into standard linear programming (LP) optimization. Besides being convex and having globally optimal solution(s), LP progra...
Markov decision processes (MDPs) are controllable discrete event systems with stochastic transitions. Performances of an MDP are evaluated by a payoff function. The controller of ...
To execute a shared memory program efficiently, we have to manage memory consistency with low overheads, and have to utilize communication bandwidth of the platform as much as pos...
Abstract. Multiresolution techniques are often used to shorten the execution times of dynamic programming based deformable contour optimization methods by decreasing the image reso...
A population based real-time optimization method for tuning dynamic position control parameters of robot manipulators has been proposed. Conventionally, the positional control is a...