High dimensional data sets are encountered in many modern database applications. The usual approach is to construct a summary of the data set through a lossy compression technique...
Searching approximate nearest neighbors in large scale high dimensional data set has been a challenging problem. This paper presents a novel and fast algorithm for learning binary...
An unordered labeled tree is a tree in which each node has a string label and the parent-child relationship is significant, but the order among siblings is unimportant. This pape...
Dennis Shasha, Jason Tsong-Li Wang, Huiyuan Shan, ...
The inability to answer proximity queries efficiently for spaces of dimension d > 2 has led to the study of approximation to proximity problems. Several techniques have been pro...
Sunil Arya, Guilherme Dias da Fonseca, David M. Mo...
Abstract-- This work presents a novel index structure, MHRtree, for efficiently answering approximate string match queries in large spatial databases. The MHR-tree is based on the ...
Bin Yao, Feifei Li, Marios Hadjieleftheriou, Kun H...