Parallel optical syntactic pattern recognizers
| Autor: | Sanghamitra Basu, George Eichmann |
|---|---|
| Rok vydání: | 2010 |
| Předmět: |
Parsing
business.industry Computer science Materials Science (miscellaneous) ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Syntactic predicate Computer Science::Computation and Language (Computational Linguistics and Natural Language and Speech Processing) Pattern recognition Image processing Content-addressable memory Syntactic pattern recognition computer.software_genre Syntax Industrial and Manufacturing Engineering TheoryofComputation_MATHEMATICALLOGICANDFORMALLANGUAGES Optics Text mining Computer Science::Logic in Computer Science Feature (machine learning) Artificial intelligence Business and International Management business computer |
| Zdroj: | Applied optics. 26(10) |
| ISSN: | 1559-128X |
| Popis: | There are many pattern recognition problems where the pattern's structural information is important. In these problems, a syntactic method of pattern recognition is of value. In this paper, both parallel syntactic pattern recognition algorithm and optical architecture implementation approaches are described. In particular, the applications of syntactic pattern recognition algorithm to shape classification are illustrated. A number of parallel optical syntactic pattern coding methods, a structural matched filter and associative memory filter, and an optical symbolic substitution syntactic parser are discussed. |
| Databáze: | OpenAIRE |
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