Few developments have influenced the field of computer vision in the last decade more than the introduction of statistical machine learning techniques. Particul

Offering a fundamental basis in kernel-based learning theory, this book covers both statistical and algebraic principles. It provides over 30 major theorems for

Publisher Description

This book provides a unique treatment of an important area of machine learning and answers the question of how kernel methods can be applied to structured data.

An overview of the theory and application of kernel classification methods. Linear classifiers in kernel spaces have emerged as a major topic within the field o