Abstract: The c-Approximate Furthest Neighbor (c-AFN) search is a fundamental problem in many applications. However, existing hashing schemes are designed ...
This package provides two external LSH schemes RQALSH and RQALSH* for high-dimensional c-Approximate Furthest Neighbor Search. Compilation. The package ...
In this paper, we introduce a novel concept of Reverse Locality-Sensitive Hashing (RLSH) family which is directly designed for c-AFN search. Accordingly, we ...
Locality-Sensitive Hashing (LSH) [9] and its variants [10],. [11] are widely used for the problem of high-dimensional c-. Approximate NN search due to their ...
Aug 22, 2017 · Furthest Neighbor search in high-dimensional space has been widely used in many applications such as recommendation systems. Because of the “ ...
In this paper, we introduce a novel concept of Reverse Locality-Sensitive Hashing (RLSH) family which is directly designed for c-AFN search. Accordingly, we ...
In this paper, we introduce a novel concept of the Reverse Locality-Sensitive Hashing (RLSH) family which is directly designed for c-AFN search. Accordingly, we ...
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Nov 22, 2010 · The former problem has been extensively studied and elegantly solved in high dimensions using Locality-Sensitive Hashing (LSH) techniques. By ...
Missing: Aware | Show results with:Aware
Based on query-aware LSH functions, we propose a novel. Query-Aware LSH scheme called QALSH for c-ANN search in high-dimensional Euclidean space. Interestingly, ...
Missing: Reverse | Show results with:Reverse
Reverse Query-Aware Locality-Sensitive Hashing for High-Dimensional Furthest Neighbor Search. Q Huang, J Feng, Q Fang. 2017 IEEE 33rd International Conference ...