• 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 2m2)
  • 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