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SIGMOD
2001
ACM
200views Database» more  SIGMOD 2001»
15 years 9 months ago
Data Bubbles: Quality Preserving Performance Boosting for Hierarchical Clustering
In this paper, we investigate how to scale hierarchical clustering methods (such as OPTICS) to extremely large databases by utilizing data compression methods (such as BIRCH or ra...
Markus M. Breunig, Hans-Peter Kriegel, Peer Kr&oum...
ICIP
2005
IEEE
15 years 11 months ago
Content-based video copy detection in large databases: a local fingerprints statistical similarity search approach
Recent methods based on interest points and local fingerprints have been proposed to perform robust CBCD (content-based copy detection) of images and video. They include two steps...
Alexis Joly, Carl Frélicot, Olivier Buisson
SIGECOM
2004
ACM
96views ECommerce» more  SIGECOM 2004»
15 years 3 months ago
A stochastic programming approach to scheduling in TAC SCM
In this paper, we combine two approaches to handling uncertainty: we use techniques for finding optimal solutions in the expected sense to solve combinatorial optimization proble...
Michael Benisch, Amy R. Greenwald, Victor Narodits...
AAAI
2000
14 years 11 months ago
Performance Comparison of Landmark Recognition Systems for Navigating Mobile Robots
Self-localisation is an essential competence for mobile robot navigation. Due to the fundamental unreliability of dead reckoning, a robot must depend on its perception of external...
Tom Duckett, Ulrich Nehmzow
KESAMSTA
2007
Springer
15 years 3 months ago
Quantitative Analysis of Single-Level Single-Mediator Multi-agent Systems
Queueing Theory deals with problems where some restricted resource should be shared between competitive flow of requests. In this paper we use Queueing Theory methods to perform a...
Moon Ho Lee, Aliaksandr Birukou, Alexander N. Dudi...