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SIGMOD
2002
ACM
219views Database» more  SIGMOD 2002»
14 years 10 months ago
Efficient k-NN search on vertically decomposed data
Applications like multimedia retrieval require efficient support for similarity search on large data collections. Yet, nearest neighbor search is a difficult problem in high dimen...
Arjen P. de Vries, Nikos Mamoulis, Niels Nes, Mart...
ICDE
2010
IEEE
235views Database» more  ICDE 2010»
14 years 9 months ago
Cost-efficient and Differentiated Data Availability Guarantees in Data Clouds
Abstract-- Failures of any type are common in current datacenters. As data scales up, its availability becomes more complex, while different availability levels per application or ...
Nicolas Bonvin, Thanasis G. Papaioannou, Karl Aber...
CHI
2010
ACM
14 years 4 months ago
How does search behavior change as search becomes more difficult?
Search engines make it easy to check facts online, but finding some specific kinds of information sometimes proves to be difficult. We studied the behavioral signals that suggest ...
Anne Aula, Rehan M. Khan, Zhiwei Guan
PAM
2009
Springer
14 years 4 months ago
Quantifying the Extent of IPv6 Deployment
Our understanding of IPv6 deployment is surprisingly limited. In fact, it is not even clear how we should quantify IPv6 deployment. In this paper, we collect and analyze a variety ...
Elliott Karpilovsky, Alexandre Gerber, Dan Pei, Je...
ICDM
2009
IEEE
199views Data Mining» more  ICDM 2009»
14 years 4 months ago
Active Learning with Adaptive Heterogeneous Ensembles
—One common approach to active learning is to iteratively train a single classifier by choosing data points based on its uncertainty, but it is nontrivial to design uncertainty ...
Zhenyu Lu, Xindong Wu, Josh Bongard