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Introduction to pattern recognition: features, classifications, learning. Statistical methods, structural methods and hybrid method. Applications to speech recognition, remote sensing and biomedical area. Learning algorithms, Syntactic approach: Introduction to pattern grammars and languages. Parsing techniques. Pattern recognition in computer aided design.