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Prof. Dr. M. Jarke
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RWTH Aachen
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Locality-sensitive Hashing with Undecisive Hash Functions

Thesis type
  • Master
Status Open
Supervisor(s)
Advisor(s)

Locality-sensitive hashing (LSH) is used to speed up near-neighbor search in high dimensional space. LSH works by hashing the elements to discrete buckets. However, in some cases the hash function has to make a decision which leads to similar points being hashed apart. This, for instance, happens when a point is close to a hyperplane in RHH. One solution to this problem is to hash several small perturbations of the points and insert all of them into the indexes. Other solutions also exist. This thesis will look into the different options for improving the performance of LSH by hashing points to multiple buckets instead of just one.

Prerequisites

some pre-existing knowledge about LSH is useful, but this can also be studied as a preparation for the topic.

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