The book provides an up-to-date on machine learning and visual perception, including decision tree, Bayesian learning, support vector machine, AdaBoost, object

Deep Learning for Robot Perception and Cognition introduces a broad range of topics and methods in deep learning for robot perception and cognition together wit

As perception stands for the acquisition of a real world representation by interaction with an environment, learning is the modification of this internal repres

This book presents some of the most recent research results in the area of machine learning and robot perception. The chapters represent new ways of solving rea

Introduces machine learning and its algorithmic paradigms, explaining the principles behind automated learning approaches and the considerations underlying thei