Hybrid pattern recognition, 1987

Placide, Eustache

1980-1989

There are two basic approaches to pattern recognition: decision-theoretic and syntactic. However, in actual applications, a combination of both may be needed. One such hybrid technique consists of syntactic method coupled with stochasticity in its grammar. Randomness in the syntactic case is caused due to noise and insufficient information about characteristics of pattern classes. To absorb the effect of this randomness, the grammar must be generalized to include the probabilities of production rules. In this paper, a preliminary discussion of issues involved with hybrid techniques, in general, and stochastic grammars, in particular, is provided. An efficient algorithm for an automatic learning of production probabilities is devised. Concepts are illustrated via examples.

text

application/pdf

1987-05-01

thesis

Master of Science (MS)

Atlanta University

Mathematical Sciences

Warsi, Nazi A.

Clark Atlanta University

Georgia--Atlanta

http://hdl.handle.net/20.500.12322/cau.td:1987_placide_eustache