Large-scale military deployments require transporting equipment and personnel over long distances in a short time. Planning an efficient airlift system is complicated and several ...
Julien Granger, Ananth Krishnamurthy, Stephen M. R...
Selection of an optimal estimator typically relies on either supervised training samples (pairs of measurements and their associated true values), or a prior probability model for...
The Valued Constraint Satisfaction Problem (VCSP) is a generic optimization problem defined by a network of local cost functions defined over discrete variables. It has applicatio...
Martin C. Cooper, Simon de Givry, M. Sanchez, Thom...
A neural network model of associative memory is presented which unifies the two historically more relevant enhancements to the basic Little-Hopfield discrete model: the graded resp...
Enrique Carlos Segura Meccia, Roberto P. J. Perazz...
Abstract. Approaches to visual navigation, e.g. used in robotics, require computationally efficient, numerically stable, and robust methods for the estimation of ego-motion. One of...