Abstract. Continuous monitoring of spatial queries has received significant research attention in the past few years. In this paper, we propose two efficient algorithms for the con...
Mahady Hasan, Muhammad Aamir Cheema, Wenyu Qu, Xue...
Approximate Nearest Neighbor (ANN) methods such as Locality Sensitive Hashing, Semantic Hashing, and Spectral Hashing, provide computationally ecient procedures for nding objects...
This demonstration program presents the V*-kNN algorithm, an efficient algorithm to process moving k nearest neighbor queries (MkNN). The V*-kNN algorithm is based on a safe-region...
Sarana Nutanong, Rui Zhang, Egemen Tanin, Lars Kul...
Voronoi condensing reduces training patterns of nearest neighbor classifiers without changing the classification boundaries. This method plays important roles not only in the near...
: The reverse k-nearest neighbor (RkNN) problem, i.e. finding all objects in a data set the k-nearest neighbors of which include a specified query object, has received increasing a...