Title :
Longest k-distance substrings of two strings
Author :
Csirik, J. ; Bunke, H.
Author_Institution :
Dept. of Comput Sci., J. Attila Univ., Szeged, Hungary
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 2m2)
Keywords :
computational complexity; pattern recognition; longest k-distance substrings; pattern similarities; time complexity; Books; Bridges; Computer science; Pattern matching; Pattern recognition;
Conference_Titel :
Pattern Recognition, 1988., 9th International Conference on
Conference_Location :
Rome
Print_ISBN :
0-8186-0878-1
DOI :
10.1109/ICPR.1988.28174