Paliwal, "Fast nearest-neighbor search algorithms based on approximation-elimination search," Pattern Recognition, vol. 33, no. 9, pp. 1497-1510, 2000.V. Ramasubramanian, K. Paliwal, "Fast nearest-neighbor search algorithms based on approximation-elimination search."...
This paper studies k-nearest-neighbor (kNN) search on R-tree-based structures storing historical information about trajectories. We develop BFPkNN, an efficient best-first based algorithm for handling kNN search with arbitrary values of k, which is I/O o
(NearestNeighborSearch):最近邻查询是最重要的空间查询之一,也是文本着 重考虑的类型。其定义是:给定一个查询点q和一个距离度量(有欧几里德距离、 曼哈顿距离等),一个最近邻查询找出一个离查询点q最近的空间数据对象。它 的一般化形式为k(k=1)最近邻查询,定义为:给定一个查询点q,一个正整数k ...
The term “lazy” is used to highlight that the algorithm doesn’t actively learn a model during the training phase; it defers the learning until the prediction phase when the specific instance needs to be classified. This characteristic makes KNN simple and flexible but can also lead to high...
Search a fixed number of nearest candidates and stop. A speedup of two orders of magnitude is typical. 主要是对于超大型数据库进行相似性查询; References:Beis, J.; Lowe, D. G. (1997). "Shape indexing using approximate nearest-neighbour search in high-dimensional spaces". Conference on Compute...
Search a fixed number of nearest candidates and stop. A speedup of two orders of magnitude is typical. 主要是对于超大型数据库进行相似性查询; References:Beis, J.; Lowe, D. G. (1997). "Shape indexing using approximate nearest-neighbour search in high-dimensional spaces". Conference on Compute...
Ramasubramanian, V., Paliwal, K.K.: Fast nearest-neighbor search algorithms based on approximation-elimination search. Pattern Recognition 33 (2000) 1497–1510 4. Moreno-Seco, F., Micó, L., Oncina, J.: A new classification rule based on nearest neighbour search. In: 17th International ...
FANNG:FANNG: Fast Approximate Nearest Neighbour Graphs HNSW(code) :Efficient and robust approximate nearest neighbor search using Hierarchical Navigable Small World graphs DPG(code) :Approximate Nearest Neighbor Search on High Dimensional Data --- Experiments, Analyses, and Improvement (v1.0) ...
narendrafukunaganearestneighboursearchapproximate Approximate Nearest Neighbour Search with the Fukunaga and Narendra Algorithm and Its Application to Chromosome Classification Francisco Moreno-Seco, Luisa Mic´o, and Jose Oncina Dept. Lenguajes y Sistemas Inform´aticos Universidad de Alicante, E-03071...
sold by two retailers will be described by different metadata. To identify these cases, we describe our images with a set of numerical features derived using theBRISKalgorithm. This makes our images points in a high-dimensional space, and we use nearest neighbour search to perform de-duplication...