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A VLSI algorithm for calculating the tree to tree distance

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Abstract

Given two ordered, labeled trees β and α, to find the distance from tree β to tree α is an important problem in many fields, for example, the pattern recognition field. In this paper, a VLSI algorithm for calculating the tree to tree distance is presented. The computation structure of the algorithm is a 2-D Mesh with the sizem*n and the time isO(m+n), wherem,n are the numbers of nodes of the tree β and tree α, respectively.

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References

  1. Kuo-chung Tai, The tree-to-tree correction problem.J. Asso. Comput. Mach., 1979, 26, 422–433.

    MATH  MathSciNet  Google Scholar 

  2. K. S. Fu, Pattern Recognition and Its Application. Science Press, China, 1983.

    Google Scholar 

  3. Kaizhong Zhang and Dennis Shasha. Simple fast algorithm for the editing distance between trees and related problems.SIAM. J. Comput., 1989, 18, 1245–1262.

    Article  MATH  MathSciNet  Google Scholar 

  4. H. T. Kung, Why systolic architectures?IEEE Computer, 1982, 15 (1), 37–46.

    Google Scholar 

  5. Sun-yuan Kunget al., Wavefront array processor: Language, architecture, and application.IEEE Trans. Comput., 1982, 11, 1054–1066.

    Article  MathSciNet  Google Scholar 

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Xu, M., Liu, X. A VLSI algorithm for calculating the tree to tree distance. J. of Comput. Sci. & Technol. 8, 68–76 (1993). https://doi.org/10.1007/BF02946587

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  • DOI: https://doi.org/10.1007/BF02946587

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