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SSPR
2004
Springer
15 years 9 months ago
EM Initialisation for Bernoulli Mixture Learning
Mixture modelling is a hot area in pattern recognition. This paper focuses on the use of Bernoulli mixtures for binary data and, in particular, for binary images. More specificall...
Alfons Juan, José García-Herná...
ESANN
2003
15 years 5 months ago
On Convergence Problems of the EM Algorithm for Finite Gaussian Mixtures
Efficient probability density function estimation is of primary interest in statistics. A popular approach for achieving this is the use of finite Gaussian mixture models. Based on...
Cédric Archambeau, John Aldo Lee, Michel Ve...
ICCV
2005
IEEE
16 years 6 months ago
Multiple Light Sources and Reflectance Property Estimation Based on a Mixture of Spherical Distributions
In this paper, we propose a new method for simultaneously estimating the illumination of the scene and the reflectance property of the object from a single image. We assume that t...
Kenji Hara, Ko Nishino, Katsushi Ikeuchi
ECWEB
2006
Springer
126views ECommerce» more  ECWEB 2006»
15 years 7 months ago
Web User Segmentation Based on a Mixture of Factor Analyzers
Abstract. This paper proposes an approach for Web user segmentation and online behavior analysis based on a mixture of factor analyzers (MFA). In our proposed framework, we model u...
Yanzan Zhou, Bamshad Mobasher
GI
2009
Springer
15 years 8 months ago
Parallelised Gaussian Mixture Filtering for Vehicular Traffic Flow Estimation
: Large traffic network systems require handling huge amounts of data, often distributed over a large geographical region in space and time. Centralised processing is not then the ...
Lyudmila Mihaylova, Amadou Gning, Viktor Doychinov...