Variations in illumination can have a dramatic effect on the appearance of an object in an image. In this paper, we propose how to deal with illumination variations in eigenspace ...
Abstract. In this paper, we propose a novel approach for adaptive control of robotic manipulators. Our approach uses a representation of inverse dynamics models learned from a vari...
This paper deals with the problem of additional sensor location in order to recover the observability of any given part of the state and unknown input for structured linear system...
(t, m, s)-nets were defined by Niederreiter [6], based on earlier work by Sobol' [7], in the context of quasi-Monte Carlo methods of numerical integration. Formulated in comb...
Abstract. An optimal probabilistic-planning algorithm solves a problem, usually modeled by a Markov decision process, by finding its optimal policy. In this paper, we study the k ...