The optimization of similarity queries using metric access methods has been widely discussed in the last decades. Similarity queries consider one object as the query center, and re...
Humberto Luiz Razente, Maria Camila Nardini Barion...
The K-Nearest Neighbor search (kNN) problem has been investigated extensively in the past due to its broad range of applications. In this paper we study this problem in the contex...
The class of k Nearest Neighbor (kNN) queries in spatial networks is extensively studied in the context of numerous applications. In this paper, for the first time we study a gene...
Ugur Demiryurek, Farnoush Banaei Kashani, Cyrus Sh...
This paper presents an efficient indexing and retrieval scheme for searching in document image databases. In many non-European languages, optical character recognizers are not very...
High-dimensional problems arising from robot motion planning, biology, data mining, and geographic information systems often require the computation of k nearest neighbor (knn) gr...