A recursive patterns matching model for the dynamic pattern recognition problem

This paper defines a new recursive pattern matching model based on the theory of the systemic functioning of the human brain, called pattern recognition theory of mind, in the context of the dynamic pattern recognition problem. Dynamic patterns are characterized by having properties that change in i...

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Autores:: Puerto Cuadros, Eduard Gilberto
Aguilar, Jose
Chavez Garcia, Danilo

Tipo de recurso:: Article of journal

Fecha de publicación:: 2018

Institución:: Universidad Francisco de Paula Santander

Repositorio:: Repositorio Digital UFPS

Idioma:: eng

Description
Summary:	This paper defines a new recursive pattern matching model based on the theory of the systemic functioning of the human brain, called pattern recognition theory of mind, in the context of the dynamic pattern recognition problem. Dynamic patterns are characterized by having properties that change in intervals of time, such as a pedestrian walking or a car running (the negation of a dynamic pattern is a static pattern). Novel contributions of this paper include: (1) Formally develop the concepts of dynamic and static pattern, (2) design a recursive pattern matching model, which exploits the idea of recursivity and time series in the recognition process, and the unbundling/integration of pattern to recognize, and (3) develop strategies of pattern matching from two major orientations: recognition of dynamic patterns oriented by characteristic, or oriented by perception. The model is instantiated in several cases, to analyze its performance.

A recursive patterns matching model for the dynamic pattern recognition problem

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