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» Combining Gaussian Mixture Models
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VTC
2007
IEEE
109views Communications» more  VTC 2007»
14 years 3 months ago
Asymptotic BEP and SEP of MRC in Correlated Ricean Fading and Non-Gaussian Noise
— In this paper, we study the asymptotic behavior of the bit–error probability (BEP) and symbol–error probability (SEP) of coherent maximum–ratio combining (MRC) in correla...
Ali Nezampour, Amir Nasri, Robert Schober, Yao Ma
NIPS
2001
13 years 10 months ago
Covariance Kernels from Bayesian Generative Models
We propose the framework of mutual information kernels for learning covariance kernels, as used in Support Vector machines and Gaussian process classifiers, from unlabeled task da...
Matthias Seeger
SAC
2011
ACM
13 years 4 months ago
Slice sampling mixture models
We propose a more efficient version of the slice sampler for Dirichlet process mixture models described by Walker (2007). This sampler allows the fitting of infinite mixture mod...
Maria Kalli, Jim E. Griffin, Stephen G. Walker
TCSV
2010
13 years 3 months ago
Video Foreground Detection Based on Symmetric Alpha-Stable Mixture Models
Background subtraction (BS) is an efficient technique for detecting moving objects in video sequences. A simple BS process involves building a model of the background and extractin...
Harish Bhaskar, Lyudmila Mihaylova, Alin Achim
INFOCOM
2009
IEEE
14 years 3 months ago
Robust Event Boundary Detection in Sensor Networks - A Mixture Model Based Approach
—Detecting event frontline or boundary sensors in a complex sensor network environment is one of the critical problems for sensor network applications. In this paper, we propose ...
Min Ding, Xiuzhen Cheng