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165
Voted
NIPS
1994
15 years 7 months ago
1994
For many types of machine learning algorithms, one can compute the statistically optimal" way to select training data. In this paper, we review how optimal data selection tec...
127
Voted
ICASSP
2010
IEEE
15 years 4 months ago
2010
IEEE
We present a novel single-channel separation approach to improve the separation performance while recovering the signals from a mixture. The key idea in this research is to employ...
201
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ICASSP
2011
IEEE
14 years 10 months ago
2011
IEEE
Modern approaches to speaker recognition (verification) operate in a space of “supervectors” created via concatenation of the mean vectors of a Gaussian mixture model (GMM) a...
114
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ICPR
2004
IEEE
16 years 7 months ago
2004
IEEE
MAP estimation of Gaussian mixtures through maximisation of penalised likelihoods was used to learn models of spatial context. This enabled prior beliefs about the scale, orientat...
163
Voted
VTC
2007
IEEE
16 years 12 days ago
2007
IEEE
Abstract— Ultra-wideband (UWB) communications is envisaged to be deployed in indoor environments, where the noise distribution is decidedly non-Gaussian. A critical challenge for...