An efficient policy search algorithm should estimate the local gradient of the objective function, with respect to the policy parameters, from as few trials as possible. Whereas m...
We study a sequential variance reduction technique for Monte Carlo estimation of functionals in Markov Chains. The method is based on designing sequential control variates using s...
For global motion estimation in model-based coding, this paper proposes a constrained spatio-temporal gradient method using contour information. To overcome the local minimum prob...
Young Wook Sohn, Doo-Hyun Kim, Dong-O Kim, Rae-Hon...
This paper presents a new expression of the relationship between Integral Projections and motion in an image pair. The resulting new multiresolution gradient based approach is use...
The way catadioptric images are acquired implies that they present radial distortions. Therefore, classical processing may not be suitable. This statement will be illustrated by c...