Multi-channel super-resolution is a means of recovering high frequency information by trading off the temporal bandwidth. Almost all the methods proposed in the literature are bas...
Anne Lorette, Hassan Shekarforoush, Josiane Zerubi...
We1 present a new actor-critic learning model in which a Bayesian class of non-parametric critics, using Gaussian process temporal difference learning is used. Such critics model ...
In an environment where the contexts of users are complex and the degree of freedom of user activity is very high, such as in daily life, several factors need to be considered for...
Hyoungnyoun Kim, Ig-Jae Kim, Hyoung-Gon Kim, Ji-Hy...
This paper proposes a compressive sampling scheme based on random temporal sampling using a successive approximation register (SAR) ADC architecture. Variable wordlength data samp...
In this paper we describe a deconvolution technique for obtaining an approximation of the neuronal signal from an observed hemodynamic response in fMRI data. Our approach, based o...