Abstract The goal of Nearest Neighbour (NN) search is to find the objects in a dataset A that are closest to a query point q. Existing algorithms presume that the dataset is indexed by an …
Differential evolution (DE) is a popular computational method used to solve optimization problems with several variants available in the literature. Here, the use of a similarity-based …
Clonal selection algorithms are computational methods inspired by the behavior of the immune system which can be applied to solve optimization problems. However, like other …
G Xiao, F Wu, X Zhou, K Li - Journal of Intelligent & Fuzzy …, 2016 - content.iospress.com
Query processing over uncertain data is very important in many applications due to the existence of uncertainty in real-world data. In this paper, we propose a novel and important …
New operators to execute similarity-based queries over multimedia data stored in Database Management Systems are increasingly demanded. However, searching in very large …
Purpose The purpose of this paper is to propose and analyze the use of local surrogate models to improve differential evolution's (DE) overall performance in computationally …
WW Sun, CN Chen, L Zhu, YJ Gao, YN Jing… - Journal of computer …, 2015 - Springer
An aggregate nearest neighbor (ANN) query returns a point of interest (POI) that minimizes an aggregate function for multiple query points. In this paper, we propose an efficient …
B Gedik, KL Wu, PS Yu - US Patent 7,299,126, 2007 - Google Patents
(Continued) motion direction of the objects and queries. The system of the present invention includes the moving objects and que ries, each having an associated motion-adaptive …