This paper presents an efficient and homogeneous paradigm for automatic acquisition and recognition of nonparametric shapes. Acquisition time varies from linear to cubic in the nu...
In this paper, a discrimination and robusmess oriented adaptive learning procedure is proposed to deal with the task of syntactic ambiguity resolution. Owing to the problem of ins...
This paper presents a method to take advantage of artificial evolution in positron emission tomography reconstruction. This imaging technique produces datasets that correspond to t...
Franck Patrick Vidal, Delphine Lazaro-Ponthus, Sam...
The Planets Testbed is an open access web application for the digital preservation community, providing an experimental framework for evaluating preservation tools and approaches i...
Brian Aitken, Seamus Ross, Andrew Lindley, Edith M...
We present and evaluate a machine learning approach to constructing patient-specific classifiers that detect the onset of an epileptic seizure through analysis of the scalp EEG, a...