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» Density Estimation Using Mixtures of Mixtures of Gaussians
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ICASSP
2011
IEEE
13 years 29 days ago
Empirical weighting for Blind Source Separation in a multiple-snapshots scenario
We consider the blind separation of sources with general (e.g., not necessarily stationary) temporal covariance structures. When the sources’ temporal covariance matrices are kn...
Arie Yeredor
BMCBI
2010
88views more  BMCBI 2010»
13 years 9 months ago
Robust probabilistic superposition and comparison of protein structures
Background: Protein structure comparison is a central issue in structural bioinformatics. The standard dissimilarity measure for protein structures is the root mean square deviati...
Martin Mechelke, Michael Habeck
MICAI
2007
Springer
14 years 3 months ago
An EM Algorithm to Learn Sequences in the Wavelet Domain
The wavelet transform has been used for feature extraction in many applications of pattern recognition. However, in general the learning algorithms are not designed taking into acc...
Diego H. Milone, Leandro E. Di Persia
ICASSP
2009
IEEE
14 years 4 months ago
A watermarking-based method for single-channel audio source separation
In this paper, we address the issue of audio source separation with a single channel, i.e. the estimation of source signals from a single mixture of these signals. This problem is...
Mathieu Parvaix, Laurent Girin, Jean-Marc Brossier
ICA
2007
Springer
14 years 3 months ago
Two Improved Sparse Decomposition Methods for Blind Source Separation
In underdetermined blind source separation problems, it is common practice to exploit the underlying sparsity of the sources for demixing. In this work, we propose two sparse decom...
B. Vikrham Gowreesunker, Ahmed H. Tewfik