115 search results - page 8 / 23 » Model Selection Through Sparse Maximum Likelihood Estimation |
ICA
2010
Springer
13 years 8 months ago
2010
Springer
We study a sparse coding learning algorithm that allows for a simultaneous learning of the data sparseness and the basis functions. The algorithm is derived based on a generative m...
JMLR
2012
11 years 10 months ago
2012
We present an algorithm for fast posterior inference in penalized high-dimensional state-space models, suitable in the case where a few measurements are taken in each time step. W...
TSP
2011
13 years 1 months ago
2011
—Detection of the number of sinusoids embedded in noise is a fundamental problem in statistical signal processing. Most parametric methods minimize the sum of a data fit (likeli...
RECOMB
2008
Springer
14 years 7 months ago
2008
Springer
Understanding the variation of recombination rates across a given genome is crucial for disease gene mapping and for detecting signatures of selection, to name just a couple of app...
ICASSP
2009
IEEE
13 years 5 months ago
2009
IEEE
In this paper, we propose a novel sparse source separation method that can be applied even if the number of sources is unknown. Recently, many sparse source separation approaches ...