Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: MP-RW-LSH: An Efficient Multi-Probe LSH Solution to ANNS in $L_1$
  Distance   Approximate Nearest Neighbor Search (ANNS) is a fundamental algorithmic
problem, with numerous applications in many areas of computer science.
Locality-sensitive hashing (LSH) is one of the most popular solution approaches
for ANNS. A common shortcoming of many LSH schemes is that since they probe
only a single bucket in a hash table, they need to use a large number of hash
tables to achieve a high query accuracy. For ANNS-$L_2$, a multi-probe scheme
was proposed to overcome this drawback by strategically probing multiple
buckets in a hash table. In this work, we propose MP-RW-LSH, the first and so
far only multi-probe LSH solution to ANNS in $L_1$ distance. Another
contribution of this work is to explain why a state-of-the-art ANNS-$L_1$
solution called Cauchy projection LSH (CP-LSH) is fundamentally not suitable
for multi-probe extension. We show that MP-RW-LSH uses 15 to 53 times fewer
hash tables than CP-LSH for achieving similar query accuracies.

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The categories of this paper are: funct-an
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The categories of this paper are: econ
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The categories of this paper are: math
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The categories of this paper are: solv-int
0
The categories of this paper are: hep-ph
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The categories of this paper are: chem-ph
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The categories of this paper are: patt-sol
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The categories of this paper are: nucl-ex
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The categories of this paper are: ao-sci
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The categories of this paper are: bayes-an
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The categories of this paper are: math-ph
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The categories of this paper are: plasm-ph
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The categories of this paper are: dg-ga
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The categories of this paper are: eess
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The categories of this paper are: stat
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The categories of this paper are: gr-qc