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Known as: Structural pattern recognition. Related topics. Feature machine learning Feature vector Formal grammar Formal language.

Syntactic Pattern Recognition, Applications

Papers overview Semantic Scholar uses AI to extract papers important to this topic. Highly Cited. Generalized feature extraction for structural pattern recognition in time-series data. Pattern recognition encompasses two fundamental tasks: description and classification. Is this relevant? An approximate solution to the weighted-graph-matching problem is discussed for both undirected and directed graphs. The Glory of the Past.


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Chinese Character Recognition.. Shape Discrimination.. Two-Dimensional Mathematical Notation.. Fingerprint Classification..

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Syntactic pattern recognition: applications - Google книги

Skickas inom vardagar. The many different mathematical techniques used to solve pattem recognition problems may be grouped into two general approaches: the decision-theoretic or discriminant approach and the syntactic or structural approach.

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In the decision-theoretic approach, aset of characteristic measurements, called features, are extracted from the pattems. Each pattem is represented by a feature vector, and the recognition of each pattem is usually made by partitioning the feature space.

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Applications of decision-theoretic approach indude character recognition, medical diagnosis, remote sensing, reliability and socio-economics.