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IJON
2007
79views more  IJON 2007»
14 years 9 months ago
Predicting neuronal activity with simple models of the threshold type: Adaptive Exponential Integrate-and-Fire model with two co
An adaptive Exponential Integrate-and-Fire (aEIF) model was used to predict the activity of layer-V-pyramidal neurons of rat neocortex under random current injection. A new protoc...
Claudia Clopath, Renaud Jolivet, Alexander Rauch, ...
ICASSP
2011
IEEE
14 years 1 months ago
Entropy-constrained quantization of exponentially damped sinusoids parameters
Sinusoidal modeling is traditionally one of the most popular techniques for low bitrate audio coding. Usually, the sinusoidal parameters are kept constant within a time segment bu...
Olivier Derrien, Roland Badeau, Gaël Richard
ICASSP
2011
IEEE
14 years 1 months ago
Probabilistic distance SVM with Hellinger-Exponential Kernel for sound event classification
This paper presents a novel method for sound event classification based on probabilistic distance SVM. The basic idea is to embed probabilistic distances into classical SVM to cl...
Tran Huy Dat, Haizhou Li
ICML
2010
IEEE
14 years 7 months ago
Online Prediction with Privacy
In this paper, we consider online prediction from expert advice in a situation where each expert observes its own loss at each time while the loss cannot be disclosed to others fo...
Jun Sakuma, Hiromi Arai
AAECC
1995
Springer
137views Algorithms» more  AAECC 1995»
15 years 1 months ago
About Approximations of Exponentials
Abstract. We look for the approximation of exp(A1 + A2) by a product in form exp(x1A1) exp(y1A2) · · · exp(xnA1) exp(ynA2). We specially are interested in minimal approximations...
Pierre-Vincent Koseleff