Robust learning recognition system against environmental variation

Abstract

An algorithm which doesn't need exact information about recognized object is introduced in "Learning of the feature extraction filters by reinforcement signals". The algorithm uses reinforcement signal and acquires feature extraction filter automatically. It is effective against environmental variation and image recognition which includes unclear feature, because it is difficult to construct feature extraction method exactly. In this paper, we propose a learning recognition system with the use of the algorithm assuming two-class discrimination issue using some images.