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» Learning Mixtures of Gaussians
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IROS
2009
IEEE
140views Robotics» more  IROS 2009»
15 years 5 months ago
Transferring embodied concepts between perceptually heterogeneous robots
— This paper explores methods and representations that allow two perceptually heterogeneous robots, each of which represents concepts via grounded properties, to transfer knowled...
Zsolt Kira
ICASSP
2008
IEEE
15 years 5 months ago
A new mutual information measure for independent component alalysis
Independent component analysis (ICA) is a popular approach for blind source separation (BSS). In this study, we develop a new mutual information measure for BSS and unsupervised l...
Jen-Tzung Chien, Hsin-Lung Hsieh, Sadaoki Furui
89
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PAMI
2002
114views more  PAMI 2002»
14 years 10 months ago
Unsupervised Learning of Finite Mixture Models
Mário A. T. Figueiredo, Anil K. Jain
ICA
2004
Springer
15 years 4 months ago
Analytical Solution of the Blind Source Separation Problem Using Derivatives
In this paper, we consider independence property between a random process and its first derivative. Then, for linear mixtures, we show that cross-correlations between mixtures and...
Sebastien Lagrange, Luc Jaulin, Vincent Vigneron, ...
ICASSP
2010
IEEE
14 years 11 months ago
Subspace Gaussian Mixture Models for speech recognition
We describe an acoustic modeling approach in which all phonetic states share a common Gaussian Mixture Model structure, and the means and mixture weights vary in a subspace of the...
Daniel Povey, Lukas Burget, Mohit Agarwal, Pinar A...