Efficient online locality sensitive hashing via reservoir counting

  • Authors:
  • Benjamin Van Durme;Ashwin Lall

  • Affiliations:
  • HLTCOE, Johns Hopkins University;Denison University

  • Venue:
  • HLT '11 Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies: short papers - Volume 2
  • Year:
  • 2011

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Abstract

We describe a novel mechanism called Reservoir Counting for application in online Locality Sensitive Hashing. This technique allows for significant savings in the streaming setting, allowing for maintaining a larger number of signatures, or an increased level of approximation accuracy at a similar memory footprint.