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» Learning Mixtures of Gaussians
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CSL
2004
Springer
15 years 6 months ago
Factor analysed hidden Markov models for speech recognition
Recently various techniques to improve the correlation model of feature vector elements in speech recognition systems have been proposed. Such techniques include semi-tied covaria...
Antti-Veikko I. Rosti, M. J. F. Gales
TIP
2010
167views more  TIP 2010»
15 years 1 months ago
A Bayesian Framework for Image Segmentation With Spatially Varying Mixtures
Abstract--A new Bayesian model is proposed for image segmentation based upon Gaussian mixture models (GMM) with spatial smoothness constraints. This model exploits the Dirichlet co...
Christophoros Nikou, Aristidis Likas, Nikolas P. G...
PRL
2006
153views more  PRL 2006»
15 years 6 months ago
Efficient adaptive density estimation per image pixel for the task of background subtraction
We analyze the computer vision task of pixel-level background subtraction. We present recursive equations that are used to constantly update the parameters of a Gaussian mixture m...
Zoran Zivkovic, Ferdinand van der Heijden
ISCAS
2006
IEEE
102views Hardware» more  ISCAS 2006»
16 years 11 days ago
Eigenvector algorithms using reference signals for blind source separation of instantaneous mixtures
— This paper presents an eigenvector algorithm (EVA) derived from a criterion using reference signals, in which the EVA is applied to the blind source separation (BSS) of instant...
Mitsuru Kawamoto, Kiyotaka Kohno, Yujiro Inouye