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» Efficient Multidimensional Sampling
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ICDE
2009
IEEE
170views Database» more  ICDE 2009»
15 years 11 months ago
Leveraging COUNT Information in Sampling Hidden Databases
A large number of online databases are hidden behind form-like interfaces which allow users to execute search queries by specifying selection conditions in the interface. Most of t...
Arjun Dasgupta, Nan Zhang, Gautam Das
ICCV
2009
IEEE
14 years 7 months ago
Exploiting uncertainty in random sample consensus
In this work, we present a technique for robust estimation, which by explicitly incorporating the inherent uncertainty of the estimation procedure, results in a more efficient rob...
Rahul Raguram, Jan-Michael Frahm, Marc Pollefeys
ICDE
2010
IEEE
183views Database» more  ICDE 2010»
15 years 4 months ago
Estimating the compression fraction of an index using sampling
—Data compression techniques such as null suppression and dictionary compression are commonly used in today’s database systems. In order to effectively leverage compression, it...
Stratos Idreos, Raghav Kaushik, Vivek R. Narasayya...
CCECE
2006
IEEE
15 years 3 months ago
New Constraints on Generation of Uniform Random Samples from Evolutionary Trees
In this paper, we introduce new algorithms for selecting taxon samples from large evolutionary trees, maintaining uniformity and randomness, under certain new constraints on the t...
Anupam Bhattacharjee, Zalia Shams, Kazi Zakia Sult...
ICML
2009
IEEE
15 years 10 months ago
Multi-instance learning by treating instances as non-I.I.D. samples
Previous studies on multi-instance learning typically treated instances in the bags as independently and identically distributed. The instances in a bag, however, are rarely indep...
Zhi-Hua Zhou, Yu-Yin Sun, Yu-Feng Li