Work

Beyond Locality–Sensitive Hashing

Year: 2013

Type: article

Abstract: We present a new data structure for the c–approximate near neighbor problem (ANN) in the Euclidean space. For n points in Rd, our algorithm achieves Oc(dnρ) query time and Oc(n1+ρ + nd) space, where ρ ≤ 7/(8c2) + O(1/c3) + oc(1). This is the first improvement over the result by Andoni and Indyk (FOCS 2006) and the first data structure that bypasses a locality–sensitive hashing lower bound proved by O’Donnell, Wu and Zhou (ITCS 2011). By a standard reduction we obtain a data structure for the Hamming space and ℓ1 norm with ρ ≤ 7/(8c) + O(1/c3/2) + oc(1), which is the first improvement over the result of Indyk and Motwani (STOC 1998). 1

Authors: Alexandr Andoni, Piotr Indyk, Huy L. Nguy Ên, Ilya Razenshteyn

Institutions: Microsoft (United States), Massachusetts Institute of Technology, Princeton University

Language: English

Topic: Algorithms and Data Compression

Subfield: Theoretical Computer Science

Field: Mathematics

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W1647207848

FWCI: 19.47

Cites: 26

Cited by: 105

Related to: 10