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NIPS
2007
15 years 7 months ago
Bayesian Inference for Spiking Neuron Models with a Sparsity Prior
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...
IMAGING
2004
15 years 7 months ago
Modeling Dot Gain and Inks Interaction
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...
Silvia Zuffi, Raimondo Schettini
IDA
2008
Springer
15 years 6 months ago
Symbolic methodology for numeric data mining
Currently statistical and artificial neural network methods dominate in data mining applications. Alternative relational (symbolic) data mining methods have shown their effectivene...
Boris Kovalerchuk, Evgenii Vityaev
TITB
2008
151views more  TITB 2008»
15 years 6 months ago
Shape-Driven Segmentation of the Arterial Wall in Intravascular Ultrasound Images
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...
TSP
2008
89views more  TSP 2008»
15 years 6 months ago
A Geometrical Study of Matching Pursuit Parametrization
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...
Laurent Jacques, Christophe De Vleeschouwer