An algorithm for automatic modelling of wavelet coefficients from context properties is presented. The algorithm is used to implement an image coder, in order to demonstrate its i...
Abstract— Supervised learning rules for spiking neural networks are currently only able to use time-to-first-spike coding and are plagued by very irregular learning curves due t...
As malicious code has become more sophisticated and pervasive, faster and more effective system for forensics and prevention is important. Particularly, quick analysis of polymorp...
In high dimensional data sets not all dimensions contain an equal amount of information and most of the time global features are more important than local differences. This makes ...
We present a pattern recognizer to classify a variety of objects and their pose on a table from real world images. Learning of weights in a linear discriminant is based on estimat...