This document provides an introduction to pattern recognition. It discusses philosophical debates around AI, definitions of key terms like features and patterns, and the typical components and design cycle of a pattern recognition system. The document also covers categories of pattern recognition problems like classification, regression, and clustering. It describes common classifiers and how to evaluate performance. Finally, it outlines major approaches to pattern recognition like template matching, statistical and neural network methods, and lists application areas such as character recognition, biometrics, medical diagnosis, and security.
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