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» A framework for user-interfaces to databases
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ICIP
2002
IEEE
16 years 6 months ago
Boosting face recognition on a large-scale database
Performance of many state-of-the-art face recognition (FR) methods deteriorates rapidly, when large in size databases are considered. In this paper, we propose a novel clustering ...
Juwei Lu, Konstantinos N. Plataniotis
153
Voted
MOBIDE
2006
ACM
15 years 11 months ago
Boosting location-based services with a moving object database engine
Composition of temporal and spatial properties of real world objects in a unified data framework results into Moving Object Databases (MOD). MODs are able to process, manage and a...
Nikos Pelekis, Yannis Theodoridis
KDD
1998
ACM
123views Data Mining» more  KDD 1998»
15 years 9 months ago
Scaling Clustering Algorithms to Large Databases
Practical clustering algorithms require multiple data scans to achieve convergence. For large databases, these scans become prohibitively expensive. We present a scalable clusteri...
Paul S. Bradley, Usama M. Fayyad, Cory Reina
EDBT
2009
ACM
149views Database» more  EDBT 2009»
15 years 2 months ago
Towards integrated and efficient scientific sensor data processing: a database approach
In this work, we focus on managing scientific environmental data, which are measurement readings collected from wireless sensors. In environmental science applications, raw sensor...
Ji Wu, Yongluan Zhou, Karl Aberer, Kian-Lee Tan
119
Voted
GPCE
2004
Springer
15 years 10 months ago
Supporting Flexible Object Database Evolution with Aspects
Object database management systems (ODBMSs) typically offer fixed approaches to evolve the schema of the database and adapt existing instances accordingly. Applications, however, h...
Awais Rashid, Nicholas A. Leidenfrost