Generalized linear models are the most commonly used tools to describe the stimulus selectivity of sensory neurons. Here we present a Bayesian treatment of such models. Using the ...
Sebastian Gerwinn, Jakob Macke, Matthias Seeger, M...
Multispectral printer characterization requires an effective model to map printer input digital counts into reflectance spectra and vice versa. This paper presents a novel strateg...
Currently statistical and artificial neural network methods dominate in data mining applications. Alternative relational (symbolic) data mining methods have shown their effectivene...
Segmentation of arterial wall boundaries from intravascular images is an important problem for many applications in the study of plaque characteristics, mechanical properties of t...
Gozde B. Unal, S. Bucher, Stephane G. Carlier, Gre...
This paper studies the effect of discretizing the parametrization of a dictionary in the particular context of Matching Pursuit decompositions of signals. Our approach relies on th...