DocumentCode
1705403
Title
Longest k -distance substrings of two strings
Author
Csirik, J. ; Bunke, H.
Author_Institution
Dept. of Comput Sci., J. Attila Univ., Szeged, Hungary
fYear
1988
Firstpage
69
Abstract
A feature vector is introduced for measuring pattern similarities between two strings. The following problem is solved: Given strings A and B and a distance d , let the distance between A and B be D =d (A , B ). Then, for r =0, 1, 2 . . . D determine substrings I and J of A and B , respectively, such that the sum of the length of I and J is maximum and the distance between I and J is maximum and the distance between I and J is equal to r , i.e. d (I ,J )=r . The algorithm used to solve this problem has a time complexity of O(n 2m 2)
Keywords
computational complexity; pattern recognition; longest k-distance substrings; pattern similarities; time complexity; Books; Bridges; Computer science; Pattern matching; Pattern recognition;
fLanguage
English
Publisher
ieee
Conference_Titel
Pattern Recognition, 1988., 9th International Conference on
Conference_Location
Rome
Print_ISBN
0-8186-0878-1
Type
conf
DOI
10.1109/ICPR.1988.28174
Filename
28174
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