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PR
2006
80views more  PR 2006»
14 years 11 months ago
Neighborhood size selection in the k-nearest-neighbor rule using statistical confidence
The k-nearest-neighbor rule is one of the most attractive pattern classification algorithms. In practice, the choice of k is determined by the cross-validation method. In this wor...
Jigang Wang, Predrag Neskovic, Leon N. Cooper
IEE
2002
113views more  IEE 2002»
14 years 11 months ago
Framework based on design patterns for providing persistence in object-oriented programming languages
Abstract. This paper describes an approach to providing object persistence in object-oriented programming languages without modifying the run-time system or the language itself. By...
Jörg Kienzle, Alexander B. Romanovsky
ICIP
2008
IEEE
16 years 1 months ago
Using sensor pattern noise for camera model identification
Sensor photo-response non-uniformity (PRNU) was introduced by Luk?as et al. [1] to solve the problem of digital camera sensor identification. The PRNU is the main component of a c...
Jessica J. Fridrich, Miroslav Goljan, Tomás...
ML
2010
ACM
138views Machine Learning» more  ML 2010»
14 years 6 months ago
Mining adversarial patterns via regularized loss minimization
Traditional classification methods assume that the training and the test data arise from the same underlying distribution. However, in several adversarial settings, the test set is...
Wei Liu, Sanjay Chawla
PRL
2010
209views more  PRL 2010»
14 years 6 months ago
Efficient update of the covariance matrix inverse in iterated linear discriminant analysis
For fast classification under real-time constraints, as required in many imagebased pattern recognition applications, linear discriminant functions are a good choice. Linear discr...
Jan Salmen, Marc Schlipsing, Christian Igel