This paper describes how a visual system can automatically define features of interest from the observation of a large enough number of natural images. The principle complements t...
The Machine Learning and Pattern Recognition communities are facing two challenges: solving the normalization problem, and solving the deep learning problem. The normalization pro...
One aim of Meta-learning techniques is to minimize the time needed for problem solving, and the effort of parameter hand-tuning, by automating algorithm selection. The predictive m...
—Starting from the strict interpolation equations for multivariate polynomials, an upper bound is developed for the number of patterns that can be memorized by a nonlinear feedfo...
Pramod Lakshmi Narasimha, Michael T. Manry, Franci...
Solving robotic exercises is a difficult task for students because the modeling activity involved requires students to comprehend programming, robotic design concepts as well as ba...