Normal fuzzy CMAC neural network performs well because of its fast learning speed and local generalization capability for approximating nonlinear functions. However, it requires hu...
Floriberto Ortiz Rodriguez, Wen Yu, Marco A. Moren...
Abstract. We describe a method of directly extracting a simplified contour surface along with detailed normal maps from volume data in one fast and integrated process. A robust du...
This paper presents a new approach for color segmentation, in which colors are not only mapped to unambiguous but also to ambiguous color classes. The ambiguous color classes are r...
Abstract. This paper is devoted to the problem of automatic translation between Czech and SC in both directions. We introduced our simple monotone phrase-based decoder - SiMPaD sui...
Abstract. We consider the problem of computing additively approximate Nash equilibria in non-cooperative two-player games. We provide a new polynomial time algorithm that achieves ...