With the rapid progress of mobile devices and positioning technologies, Trajectory Databases (TD) have been in the core of database research during the last decade. Analysis and k...
Nikos Pelekis, Ioannis Kopanakis, Irene Ntoutsi, G...
This paper considers a distance metric learning (DML) algorithm for a fingerprinting system, which identifies a query content by finding the fingerprint in the database (DB) that m...
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...
We present a novel approach to learn distance metric for information retrieval. Learning distance metric from a number of queries with side information, i.e., relevance judgements...
Metric access methods (MAMs), such as the M-tree, are powerful index structures for supporting ty queries on metric spaces, which represent a common abstraction for those searchin...