9494 search results - page 70 / 1899 » Gaussian Process Networks |
ICASSP
2008
IEEE
14 years 4 months ago
2008
IEEE
A multiple fundamental frequency estimator is presented in this work. At each time frame, a set of fundamental frequencies is found in a frame by frame analysis taking into accoun...
PCI
2005
Springer
14 years 3 months ago
2005
Springer
Abstract. It has been recently demonstrated that the classical EM algorithm for learning Gaussian mixture models can be successfully implemented in a decentralized manner by resort...
MOBIHOC
2009
ACM
14 years 10 months ago
2009
ACM
In this paper, we present a Gaussian mixture model based approach to capture the spatial characteristics of any target signal in a sensor network, and further propose a temporally...
VTC
2010
IEEE
13 years 7 months ago
2010
IEEE
Abstract--This paper analyzes the outage probability in cognitive radio networks, based on the Poisson point process model of node spatial distribution and the standard propagation...
ICASSP
2010
IEEE
13 years 10 months ago
2010
IEEE
Gaussian mixture models (GMMs) are a convenient and essential tool for the estimation of probability density functions. Although GMMs are used in many research domains from image ...