Research paper IRISA

Searching in One Billion Vectors: Re-rank with Source Coding

Title page of Searching in One Billion Vectors: Re-rank with Source Coding.
First page of the original paper · Hervé Jégou, Romain Tavenard, Matthijs Douze, Laurent Amsaleg. View in context ↗

In this reference

A vector-search method that refines nearest-neighbor results using compact quantization codes.

Cite the original work

Hervé Jégou & Romain Tavenard & Matthijs Douze & Laurent Amsaleg. Searching in One Billion Vectors: Re-rank with Source Coding [Research paper]. IRISA. https://www.irisa.fr/texmex/people/jegou/papers/jegou_icassp11.pdf

View BibTeX
@misc{searching_in_one_billion_vectors_re_rank_with_source_coding,
  author = {Hervé Jégou and Romain Tavenard and Matthijs Douze and Laurent Amsaleg},
  title = {{Searching in One Billion Vectors: Re-rank with Source Coding}},
  howpublished = {IRISA},
  url = {https://www.irisa.fr/texmex/people/jegou/papers/jegou_icassp11.pdf}
}
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