: This paper deals with a progressive learning method for symbol recognition which improves its own recognition rate when new symbols are recognized in graphic documents. We propos...
We consider the formulation and analysis of a problem of automatic control: correcting for the distortion induced in an optical wave front due to propagation through a turbulent a...
Eric W. Justh, P. S. Krishnaprasad, M. A. Vorontso...
: Decision-support systems that help solving problems in open and weak theory domains, i.e. hard problems, need improved methods to ground their models in real world situations. Mo...
In this article we present an automatic on-line color calibration system that makes extensive use of the spatial relationships between color classes in the color space. First, we i...
Pablo Guerrero, Javier Ruiz-del-Solar, Josué...
In this paper, we study an adaptive random search method based on continuous action-set learning automaton for solving stochastic optimization problems in which only the noisecorr...