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Speed up the computation of randomized algorithms for detecting lines, circles, and ellipses using novel tuning- and LUT-based voting platform.

Kuo-Liang ChungYong-Huai Huang
Published in: Appl. Math. Comput. (2007)
Keyphrases
  • randomized algorithms
  • hough transform
  • approximation algorithms
  • lower bound
  • randomized algorithm
  • line segments
  • worst case
  • support vector
  • supervised learning
  • theoretical analysis
  • single machine