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ICANN
2010
Springer
14 years 11 months ago
Empirical Analysis of the Divergence of Gibbs Sampling Based Learning Algorithms for Restricted Boltzmann Machines
Abstract. Learning algorithms relying on Gibbs sampling based stochastic approximations of the log-likelihood gradient have become a common way to train Restricted Boltzmann Machin...
Asja Fischer, Christian Igel
GRID
2008
Springer
14 years 11 months ago
On correlated availability in Internet-distributed systems
As computer networks rapidly increase in size and speed, Internet-distributed systems such as P2P, volunteer computing, and Grid systems are increasingly common. A precise and acc...
Derrick Kondo, Artur Andrzejak, David P. Anderson
ICASSP
2010
IEEE
14 years 10 months ago
Automatic state discovery for unstructured audio scene classification
In this paper we present a novel scheme for unstructured audio scene classification that possesses three highly desirable and powerful features: autonomy, scalability, and robust...
Julian Ramos, Sajid M. Siddiqi, Artur Dubrawski, G...
AVSS
2007
IEEE
14 years 10 months ago
A particle filter based fusion framework for video-radio tracking in smart spaces
One of the main issues for Ambient Intelligence (AmI) systems is to continuously localize the user and to detect his/her identity in order to provide dedicated services. A video-r...
Alessio Dore, Andrea F. Cattoni, Carlo S. Regazzon...
AMCS
2010
146views Mathematics» more  AMCS 2010»
14 years 10 months ago
Sensor network design for the estimation of spatially distributed processes
satisfactory network connectivity have dominated this line of research and abstracted away from the mathematical description of the physical processes underlying the observed pheno...
Dariusz Ucinski, Maciej Patan