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General Concepts of Pattern Recognition

Pattern Recognition (PR) is a general term which may mean any of the following with subtle conceptual differences.

Examples:

Different methodologies can be used for PR, such as statistical methods and neural network methods. In general all PR algorithms can be categorized into two types: supervised learning (learning with teacher) and unsupervised learning (learning without teacher).


next up previous
Next: Basic Definitions Up: classification Previous: classification
Ruye Wang 2016-04-04