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Vectorizations of randomized matching for run-length coded strings

Authors :
Chung, Kuo-Liang
Yan, Wen-Ming
Source :
Pattern Recognition Letters; 1997, Vol. 18 Issue: 1 p63-72, 10p
Publication Year :
1997

Abstract

Matching run-length coded strings (RLCSs) is very important in the field of pattern recognition. This paper considers the design of vectorized matching algorithms that operate directly on RLCSs. We first modify the algorithm of Karp and Rabin (1987) to design a linear-time randomized matching algorithm for RLCSs. Following this algorithm, two new and fast vectorized algorithms are presented. The first one is off-line and the second one is on-line. Some experiments are carried out on a CRAY X-MP EA/ 116se vector supercomputer to demonstrate the good performance of our vectorized algorithms.

Details

Language :
English
ISSN :
01678655
Volume :
18
Issue :
1
Database :
Supplemental Index
Journal :
Pattern Recognition Letters
Publication Type :
Periodical
Accession number :
ejs2927346
Full Text :
https://doi.org/10.1016/S0167-8655(96)00128-6