A novel algorithm for robust RANSAC-like estimation of epipolar geometry (of uncalibrated camera pair) from two correspondences of local affine frames (LAFs) is presented. Each LA...
In many distributed computing systems that are prone to either induced or spontaneous node failures, the number of available computing resources is dynamically changing in a rando...
Sagar Dhakal, Majeed M. Hayat, Jorge E. Pezoa, Cha...
— Reinforcement learning (RL) is one of the most general approaches to learning control. Its applicability to complex motor systems, however, has been largely impossible so far d...
The covariance matrix adaptation evolution strategy (CMAES) has proven to be a powerful method for reinforcement learning (RL). Recently, the CMA-ES has been augmented with an ada...
We consider the problem of admission control in resource sharing systems, such as web servers and transaction processing systems, when the job size distribution has high variabili...