Hybrid methods in pattern recognition

The field of pattern recognition has grown enormously in recent years and a wide variety of techniques have been developed for various applications. Traditionally, these techniques can be categorized into statistical, or decision theoretic, and structural methods. Additionally, artificial intelligence based approaches have become very important recently. Each of the different methods has its strength and its limitations. For overcoming these limitations, statistical, structural, and artificial intelligence based methods are mixed sometimes. This results in a hybrid approach.

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