RNA Structural Differentiation: Opportunities with Pattern Recognition

Inexact graph recognition matching for structural pattern

This paper is concerned with the inexact matching of attributed, relational graphs for structural pattern recognition. The matching procedure is based on a state space search utilizing heuristic information. Some experimental results are reported.

Introduction to Statistical and Structural Pattern Recognition

The Dissimilarity Representation for Structural Pattern Recognition

The patterns in collections of real world objects are often not based on a limited set of isolated properties such as features. Instead, the totality of their appearance constitutes the basis of the human recognition of patterns. Structural pattern recognition aims to find explicit procedures that mimic the learning and classification made by human experts in well-defined and restricted areas o...

Function-Described Graphs for Structural Pattern Recognition

A fundamental problem in pattern recognition is selecting suitable representations for objects and classes. In the decision-theoretic approach to pattern recognition, a pattern is represented by a set of numerical values, which forms a feature vector. Although, in many tasks, objects can be recognised successfully using only global features such as size and compactness, in some applications it ...

Pattern recognition - statistical, structural and neural approaches

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