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» Modelling Profiles with a Mixture of Gaussians
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DAGM
2009
Springer
14 years 2 months ago
Localised Mixture Models in Region-Based Tracking
An important problem in many computer vision tasks is the separation of an object from its background. One common strategy is to estimate appearance models of the object and backgr...
Christian Schmaltz, Bodo Rosenhahn, Thomas Brox, J...
TNN
2008
128views more  TNN 2008»
13 years 7 months ago
A Hybrid Technique for Blind Separation of Non-Gaussian and Time-Correlated Sources Using a Multicomponent Approach
Blind inversion of a linear and instantaneous mixture of source signals is a problem often encountered in many signal processing applications. Efficient FastICA (EFICA) offers an ...
Petr Tichavský, Zbynek Koldovský, Ar...
ESANN
2007
13 years 9 months ago
Mixtures of robust probabilistic principal component analyzers
Mixtures of probabilistic principal component analyzers model high-dimensional nonlinear data by combining local linear models. Each mixture component is specifically designed to...
Cédric Archambeau, Nicolas Delannay, Michel...
IJON
1998
87views more  IJON 1998»
13 years 7 months ago
Learned parametric mixture based ICA algorithm
The learned parametric mixture method is presented for a canonical cost function based ICA model on linear mixture, with several new findings. First, its adaptive algorithm is fu...
Lei Xu, Chi Chiu Cheung, Shun-ichi Amari
ICPR
2000
IEEE
14 years 9 months ago
On Gaussian Radial Basis Function Approximations: Interpretation, Extensions, and Learning Strategies
In this paper we focus on an interpretation of Gaussian radial basis functions (GRBF) which motivates extensions and learning strategies. Specifically, we show that GRBF regressio...
Mário A. T. Figueiredo