Dissertation/Thesis

A Windowed Version Of The Bunke And Bühler Algorithm To Better Approximate Dissimilarities Between Cyclic Patterns.

Λεπτομέρειες βιβλιογραφικής εγγραφής
Τίτλος: A Windowed Version Of The Bunke And Bühler Algorithm To Better Approximate Dissimilarities Between Cyclic Patterns.
Συγγραφείς: R. A. Mollineda, E. Vidal, F. Casacuberta
Συνεισφορές: The Pennsylvania State University CiteSeerX Archives
Πηγή: http://www.iti.upv.es/~prhlt/PAPERS/papers96-00/2000/Mollineda00e.ps.gz.
Έτος έκδοσης: 2000
Συλλογή: CiteSeerX
Θεματικοί όροι: Cyclic patterns, cyclic strings, approximate string matching, structural pattern analysis, 2D shape recognition
Περιγραφή: An ecient approximate technique for measuring dissimilarities between cyclic patterns is presented. It is inspired on the quadratic time algorithm proposed by Bunke and Buhler (BBA). This algorithm computes an estimation of the distance measured between two cyclic strings x and y, by nding in an edit graph, an alignment between x with its most similar substring of some rotation of y. The technique presented in this paper de nes a diagonal window on the edit graph for each starting node where alignments originate from. Each alignment will be constrained to be within the window associated to its starting node. It guarantees alignments between x and substrings very close to some rotation of y, leading to a much better approximation to the exact cyclic distance value between x and y. Experiments were conducted on both arti cial and real data, to demonstrate the capabilities of the new technique in both accurateness and quadratic computing time.
Τύπος εγγράφου: Thesis
Περιγραφή αρχείου: application/postscript
Γλώσσα: English
Relation: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.16.4732
Διαθεσιμότητα: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.16.4732
http://www.iti.upv.es/~prhlt/PAPERS/papers96-00/2000/Mollineda00e.ps.gz
Rights: Metadata may be used without restrictions as long as the oai identifier remains attached to it.
Αριθμός Καταχώρησης: edsbas.11AF8864
Βάση Δεδομένων: BASE