Dissertation/Thesis

Efficient Techniques for a Very Accurate Measurement of Dissimilarities Between Cyclic Patterns

Bibliographic Details
Title: Efficient Techniques for a Very Accurate Measurement of Dissimilarities Between Cyclic Patterns
Authors: R. A. Mollineda, E. Vidal, F. Casacuberta
Contributors: The Pennsylvania State University CiteSeerX Archives
Source: http://www.iti.upv.es/~prhlt/PAPERS/papers96-00/2000/Mollineda00c.ps.gz.
Publication Year: 2000
Collection: CiteSeerX
Subject Terms: Cyclic patterns, cyclic strings, approximate string matching, structural pattern analysis, 2D shape recognition
Description: Two efficient approximate techniques for measuring dissimilarities of cyclic patterns are presented. They are inspired on the quadratic time algorithm proposed by Bunke and Bühler. The first technique completes pseudoalignments built by the Bunke and Bühler algorithm (BBA), obtaining full alignments between cyclic patterns. The edit cost of the minimum-cost alignment is given as an upper-bound estimation of the exact cyclic edit distance, which results in a more accurate bound than the lower one obtained by BBA. The second technique uses both bounds to compute a weighted average, achieving even more accurate solutions. Weights come from.
Document Type: Thesis
File Description: application/postscript
Language: English
Relation: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.16.4526
Availability: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.16.4526
http://www.iti.upv.es/~prhlt/PAPERS/papers96-00/2000/Mollineda00c.ps.gz
Rights: Metadata may be used without restrictions as long as the oai identifier remains attached to it.
Accession Number: edsbas.C5DA952
Database: BASE
Description
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