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EDBT
2009
ACM
127views Database» more  EDBT 2009»
14 years 2 months ago
Approximate substring selectivity estimation
We study the problem of estimating selectivity of approximate substring queries. Its importance in databases is ever increasing as more and more data are input by users and are in...
Hongrae Lee, Raymond T. Ng, Kyuseok Shim
CIBCB
2007
IEEE
13 years 11 months ago
Hybrid Architecture for Accelerating DNA Codeword Library Searching
-- A large and reliable DNA codeword library is the key to the success of DNA based computing. Searching for the set of reliable DNA codewords is an NP-hard problem, which can take...
Qinru Qiu, Daniel J. Burns, Qing Wu, Prakash Mukre
ICCV
2007
IEEE
14 years 9 months ago
An Invariant Large Margin Nearest Neighbour Classifier
The k-nearest neighbour (kNN) rule is a simple and effective method for multi-way classification that is much used in Computer Vision. However, its performance depends heavily on ...
M. Pawan Kumar, Philip H. S. Torr, Andrew Zisserma...
CVPR
2001
IEEE
14 years 9 months ago
A Nonparametric Statistical Comparison of Principal Component and Linear Discriminant Subspaces for Face Recognition
The FERET evaluation compared recognition rates for different semi-automated and automated face recognition algorithms. We extend FERET by considering when differences in recognit...
J. Ross Beveridge, Kai She, Bruce A. Draper, Geof ...
STOC
2010
ACM
185views Algorithms» more  STOC 2010»
13 years 11 months ago
Measuring independence of datasets
Approximating pairwise, or k-wise, independence with sublinear memory is of considerable importance in the data stream model. In the streaming model the joint distribution is give...
Vladimir Braverman, Rafail Ostrovsky