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SSPR
2004
Springer
15 years 11 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 7 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 8 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 10 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 10 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...