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» Data Integration: Where Does the Time Go
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CVPR
2004
IEEE
14 years 8 months ago
Model-Based Motion Clustering Using Boosted Mixture Modeling
Model-based clustering of motion trajectories can be posed as the problem of learning an underlying mixture density function whose components correspond to motion classes with dif...
Vladimir Pavlovic
ICDE
1998
IEEE
108views Database» more  ICDE 1998»
14 years 8 months ago
Efficient Discovery of Functional and Approximate Dependencies Using Partitions
Discovery of functionaldependencies from relations has been identified as an important database analysis technique. In this paper, we present a new approach for finding functional...
Ykä Huhtala, Juha Kärkkäinen, Pasi ...
ICC
2009
IEEE
151views Communications» more  ICC 2009»
14 years 1 months ago
Slow Adaptive OFDMA via Stochastic Programming
—Fueled by the promises of high spectral efficiency, adaptive OFDMA has attracted enormous research interests over the last decade. The significant capacity gain of adaptive OF...
Wei Liang (William) Li, Ying Jun (Angela) Zhang, M...
FOCS
2008
IEEE
14 years 1 months ago
What Can We Learn Privately?
Learning problems form an important category of computational tasks that generalizes many of the computations researchers apply to large real-life data sets. We ask: what concept ...
Shiva Prasad Kasiviswanathan, Homin K. Lee, Kobbi ...
IPPS
2007
IEEE
14 years 1 months ago
File Creation Strategies in a Distributed Metadata File System
As computing breaches petascale limits both in processor performance and storage capacity, the only way that current and future gains in performance can be achieved is by increasi...
Ananth Devulapalli, Pete Wyckoff