9494 search results - page 70 / 1899 » Gaussian Process Networks |
43
Voted
ICASSP
2008
IEEE
15 years 7 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...
117
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PCI
2005
Springer
15 years 6 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...
119
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MOBIHOC
2009
ACM
16 years 1 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...
138
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VTC
2010
IEEE
14 years 10 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...
106
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ICASSP
2010
IEEE
15 years 28 days 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 ...