Low distortion embeddings for edit distance

  • Authors:
  • Rafail Ostrovsky;Yuval Rabani

  • Affiliations:
  • University of California at Los Angeles, CA;Israel Institute of Technology, Haifa, Israel

  • Venue:
  • Proceedings of the thirty-seventh annual ACM symposium on Theory of computing
  • Year:
  • 2005

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Abstract

We show that 0,1d endowed with edit distance embeds into l1 with distortion 2O(√log dlog log d). We further show efficient implementations of the embedding that yield solutions to various computational problems involving edit distance. These include sketching, communication complexity, nearest neighbor search. For all these problems, we improve upon previous bounds.