Advances in Feature Selection for Data and Pattern Recognition

This book presents recent developments and research trends in the field of featureselection for data and pattern recognition, highlighting a number of latest advances. The field of feature selection is evolving constantly, providing numerous newalgorithms, new solutions, and new applications. Some of the advances presentedfocus on theoretical approaches, introducing novel propositions highlighting anddiscussing properties of objects, and analysing the intricacies of processes and boundson computational complexity, while others are dedicated to the specific requirementsof application domains or the particularities of tasks waiting to be solved or improved. Divided into four parts - nature and representation of data; ranking and exploration offeatures; image, shape, motion, and audio detection and recognition; decision supportsystems, it is of great interest to a large section of researchers including students,professorsand practitioners.