An overview of the classification-based least squares trained filters on picture quality improvement algorithms is presented. For each algorithm, the training process is unique and...
We propose a simple classification method for public-key based authentication protocols, which consists of identifying several basic properties leading to a large number of generic...
— This article presents a self-fuzzification method to enhance the settings of a Fuzzy Reasoning Classification adapted to the automated inspection of wooden boards. The supervis...
Emmanuel Schmitt, Vincent Bombardier, Patrick Char...
When recording extracellular neural activity, it is often necessary to distinguish action potentials arising from distinct cells near the electrode tip, a process commonly referre...
Due to the various masquerading strategies adopted by newer P2P applications to avoid detection and filtering, well-known port mapping techniques cannot guarantee their accuracy an...
Jae Yoon Chung, Byungchul Park, Young J. Won, John...
A method for the classification of land cover in urban areas by the fusion of first and last pulse LIDAR data and multi-spectral images is presented. Apart from buildings, the cla...
Brian C. Lovell, Franz Rottensteiner, John Trinder...
We propose a new local learning scheme that is based on the principle of decisiveness: the learned classifier is expected to exhibit large variability in the direction of the test ...