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To support fast k-NN queries over large image database, in this paper, we propose a novel dual distance transformation method called DDT. In DDT, all images ...
To support fast k-NN queries over large image database, in this paper, we propose a novel dual distance transformation method called DDT. In DDT, all images ...
Apr 22, 2011 · With a V/T, the nearest-neighbor search is performed in two steps one after the other, against two different populations of data--first against ...
Missing: Image Dual
For an increasing number of modern database applica- tions, efficient support of similarity search becomes an important task. Along with the complexity of ...
Missing: Dual | Show results with:Dual
5.2 Nearest Neighbor Queries. We ran queries with k=2,3,4, and 10 for several N. Figure 8 shows (a) the results of k-nearest neighbor queries with k = 10 ...
Missing: Answering Dual
Our survey focuses on exact approaches over high-dimensional data space, which covers 20 kNN Search methods and 9 kNN Join methods.
Missing: Dual | Show results with:Dual
Apr 24, 2017 · The Nearest Neighbor (NN) search problem consists in finding the closest vector x to a query vector y among a database of N d- dimensional ...
Apr 19, 2023 · Let q ∈ Rd be a query vector. Given a value k ∈ N+ and k ≤ N, a vector query with q is to find the top-k nearest neighbors of q in S, ...
Missing: Answering Dual
Aug 11, 2024 · This paper presents a comprehensive review and performance analysis of modifications made to enhance the exact kNN techniques.
Missing: Answering Dual
In this paper, we propose a solution to the multi-step k-nearest neighbor (k-NN) search. The method is the reduced tolerance-based k-NN search for static ...