Pattern recognition using w-orbit finite automata

Ying Liu; Hede Ma

doi:10.1117/12.50318

1 November 1991 Pattern recognition using ω-orbit finite automata

Ying Liu, Hede Ma

Proceedings Volume 1606, Visual Communications and Image Processing '91: Image Processing; (1991) https://doi.org/10.1117/12.50318
Event: Visual Communications, '91, 1991, Boston, MA, United States

Abstract

In this paper, a new pattern recognition scheme is proposed by the authors, which features compressing a huge input vector into a tiny one and catching the characteristics of the input vector efficiently. The development of this scheme is based on a theory of class 2 dynamical systems, where the class 2 dynamical system is defined by the authors. An approach using (omega) -Orbit Finite Automata developed by the authors is a special class of this method. This scheme has two stages, encoding and quantization. The encoding procedure stores an input vector in an attractor of a class 2 dynamical system. The quantization procedure divides the parameter space of the class 2 dynamical systems inferred at encoding stage. A retrieval algorithm for (omega) -OFA and several inference algorithms of class 2 dynamical system from a given input vector are introduced.

Citation Download Citation

Ying Liu and Hede Ma "Pattern recognition using ω-orbit finite automata", Proc. SPIE 1606, Visual Communications and Image Processing '91: Image Processing, (1 November 1991); https://doi.org/10.1117/12.50318

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