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142
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ICIP
2005
IEEE
16 years 8 months ago
2005
IEEE
A fundamental problem in signal processing is to estimate signal from noisy observations. When some prior information about the statistical models of the signal and noise is avail...
174
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CSDA
2010
15 years 6 months ago
2010
Recently developed adaptive Markov chain Monte Carlo (MCMC) methods have been applied successfully to many problems in Bayesian statistics. Grapham is a new open source implementat...
167
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COLT
1998
Springer
15 years 10 months ago
1998
Springer
Most of the work which attempts to give bounds on the generalization error of the hypothesis generated by a learning algorithm is based on methods from the theory of uniform conve...
137
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ICASSP
2011
IEEE
14 years 10 months ago
2011
IEEE
We propose a non-data-aided adaptive beamforming algorithm based on Widely Linear (WL) processing techniques and the Auxiliary Vector Filtering (AVF) algorithm for non-circular si...
157
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ICASSP
2011
IEEE
14 years 10 months ago
2011
IEEE
The recent upsurge of research toward compressive sampling and parsimonious signal representations hinges on signals being sparse, either naturally, or, after projecting them on a...