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» Query Processing for Distance Metrics
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ICDE
2007
IEEE
106views Database» more  ICDE 2007»
14 years 2 months ago
Mining Trajectory Databases via a Suite of Distance Operators
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...
TIFS
2010
135views more  TIFS 2010»
13 years 3 months ago
Distance Metric Learning for Content Identification
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...
Dalwon Jang, Chang Dong Yoo, Ton Kalker
SBBD
2007
97views Database» more  SBBD 2007»
13 years 10 months ago
Constrained Aggregate Similarity Queries in Metric Spaces
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...
CVPR
2008
IEEE
14 years 10 months ago
Rank-based distance metric learning: An application to image retrieval
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...
Jung-Eun Lee, Rong Jin, Anil K. Jain
TODS
2002
92views more  TODS 2002»
13 years 8 months ago
Searching in metric spaces with user-defined and approximate distances
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...
Paolo Ciaccia, Marco Patella