Chapter 24
Statistical Pattern Recognition
Pattern recognition is a task that humans are able to achieve “at a glance” with little apparent effort. Much of pattern recognition is structural, being achieved essentially by analyzing shape. In contrast, statistical pattern recognition (SPR) treats sets of extracted features as abstract entities that can be used to classify objects on a statistical basis, often by mathematical similarity to sets of features for objects with known classes. This chapter explores the subject, presenting relevant theory where appropriate, and shows how artificial neural networks (ANNs) are able to help with recognition tasks.
Look out for:
• the nearest neighbor algorithm—probably the most intuitive of all statistical ...
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