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ISCAS
2005
IEEE
214views Hardware» more  ISCAS 2005»
15 years 9 months ago
Blind separation of statistically independent signals with mixed sub-Gaussian and super-Gaussian probability distributions
— In the context of Independent Component Analysis (ICA), we propose a simple method for online estimation of activation functions in order to blindly separate instantaneous mixt...
Muhammad Tufail, Masahide Abe, Masayuki Kawamata
NN
2006
Springer
15 years 4 months ago
Missing data imputation through GTM as a mixture of t-distributions
The Generative Topographic Mapping (GTM) was originally conceived as a probabilistic alternative to the well-known, neural networkinspired, Self-Organizing Maps. The GTM can also ...
Alfredo Vellido
144
Voted
ICASSP
2010
IEEE
15 years 4 months ago
Image-quality prediction of synthetic aperture sonar imagery
This work exploits several machine-learning techniques to address the problem of image-quality prediction of synthetic aperture sonar (SAS) imagery. The objective is to predict th...
David P. Williams
ICASSP
2009
IEEE
15 years 11 months ago
Detecting real life anger
Acoustic anger detection in voice portals can help to enhance human computer interaction. A comprehensive voice portal data collection has been carried out and gives new insight o...
Felix Burkhardt, Tim Polzehl, Joachim Stegmann, Fl...
ICIP
2005
IEEE
16 years 5 months ago
Variational segmentation of color images
A variational Bayesian framework is employed in the paper for image segmentation using color clustering. A Gaussian mixture model is used to represent color distributions. Variati...
Nikolaos Nasios, Adrian G. Bors