We introduce flexible algorithms that can automatically learn mappings from images to actions by interacting with their environment. They work by introducing an image classifier i...
Terrain maps, commonly used for updating elevation values of a moving object (i.e., a traveler), may be conveniently used for detecting and preventing collisions between the trave...
This multidisciplinary study focuses on the application and comparison of several topology preserving mapping models upgraded with some classifier ensemble and boosting techniques ...
Bruno Baruque, Emilio Corchado, Hujun Yin, Jordi R...
We present a homomorphous mapping that converts problems with linear equality constraints into fully unconstrained and lower-dimensional problems for optimization with PSO. This ap...
This paper proposes a method of model-driven HW/SW co-design in embedded system design and discusses the key technology of model mapping, automatic generating codes and performanc...