60 search results - page 4 / 12 » Bayesian Inference and Optimal Design for the Sparse Linear ... |
CORR
2010
Springer
13 years 5 months ago
2010
Springer
Adaptive sparse coding methods learn a possibly overcomplete set of basis functions, such that natural image patches can be reconstructed by linearly combining a small subset of t...
TSP
2008
13 years 5 months ago
2008
Abstract--In this paper, we develop an adaptive waveform design method for target tracking under a framework of sequential Bayesian inference. We employ polarization diversity to i...
BIBE
2008
IEEE
13 years 11 months ago
2008
IEEE
— The aim of this work is to propose a new approach for the determination of the design matrix in fMRI experiments. The design matrix embodies all available knowledge about exper...
JMLR
2010
13 years 2 days ago
2010
We propose a fully Bayesian approach for generalized kernel models (GKMs), which are extensions of generalized linear models in the feature space induced by a reproducing kernel. ...
TASLP
2008
13 years 5 months ago
2008
Abstract--We describe in this paper an audio denoising technique based on sparse linear regression with structured priors. The noisy signal is decomposed as a linear combination of...