Statistical pattern recognition is a very active area of study andresearch, which has seen many advances in recent years. New andemerging applications - such as

1. Introduction to pattern classification. 1.1. Pattern classification. 1.2. Induction algorithms. 1.3. Rule induction. 1.4. Decision trees. 1.5. Bayesian metho

The very significant advances in computer vision and pattern recognition and their applications in the last few years reflect the strong and growing interest in

This book covers pattern recognition techniques applied to various areas of biomedicine, including disease diagnosis and prognosis, and several problems of clas

A self-contained and coherent account of probabilistic techniques, covering: distance measures, kernel rules, nearest neighbour rules, Vapnik-Chervonenkis theor