This book highlights the relation between perception and learning and describes the influence of the learning in the interaction with the environment.
Besides, this volume contains a series of applications of both machine learning and perception, where the former is often embedded in the latter and vice-versa.
Among the topics covered, there are visual perception for autonomous robots, model generation of visual patterns, attentional reasoning, genetic approaches and various categories of neural networks.