This book will make a difference to the literature on machine learning." Simon Haykin, Mc Master University "This book sets a high standard as the public record of an interesting and effective competition." Peter Norvig, Google Inc.

This book provides readers with a selection of high-quality chapters that cover both theoretical concepts and practical applications of image feature detectors and descriptors.

Foundations and Applications Isabelle Guyon, Steve Gunn, Masoud Nikravesh, Lofti A. Zadeh. References B. Boser , I. Guyon , and V. Vapnik . A training algorithm for optimal margin clas- sifiers . In Proc . COLT , pages 144-152 , 1992 . O ...

The objective of this collection is to increase the awareness of the data mining community about the research of feature extraction, construction and selection, which are currently conducted mainly in isolation.

This book introduces a range of image color feature extraction techniques.

This book covers the essential concepts and strategies within traditional and cutting-edge feature learning methods thru both theoretical analysis and case studies.

This book emphasizes various image shape feature extraction methods which are necessary for image shape recognition and classification.

This book proposes applications of tensor decomposition to unsupervised feature extraction and feature selection.