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...
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...
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...
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...
For fast classification under real-time constraints, as required in many imagebased pattern recognition applications, linear discriminant functions are a good choice. Linear discr...