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» Bayesian compressive sensing and projection optimization
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JMLR
2008
209views more  JMLR 2008»
13 years 4 months ago
Bayesian Inference and Optimal Design for the Sparse Linear Model
The linear model with sparsity-favouring prior on the coefficients has important applications in many different domains. In machine learning, most methods to date search for maxim...
Matthias W. Seeger
SIAMIS
2011
12 years 11 months ago
Large Scale Bayesian Inference and Experimental Design for Sparse Linear Models
Abstract. Many problems of low-level computer vision and image processing, such as denoising, deconvolution, tomographic reconstruction or superresolution, can be addressed by maxi...
Matthias W. Seeger, Hannes Nickisch
ICASSP
2009
IEEE
13 years 11 months ago
Joint reconstruction of compressed multi-view images
This paper proposes a distributed representation algorithm for multi-view images that are jointly reconstructed at the decoder. Compressed versions of each image are first obtain...
Xu Chen, Pascal Frossard
TSP
2010
12 years 11 months ago
Robust precoding with Bayesian error modeling for limited feedback MU-MISO systems
We consider the robust precoder design for Multi-User Multiple Input Single Output (MU-MISO) systems where the Channel State Information (CSI) is fed back from the single antenna ...
Michael Joham, Paula Maria Castro, Luis Castedo, W...
ICASSP
2011
IEEE
12 years 8 months ago
A-Functions: A generalization of Extended Baum-Welch transformations to convex optimization
We introduce the Line Search A-Function (LSAF) technique that generalizes the Extended-Baum Welch technique in order to provide an effective optimization technique for a broader s...
Dimitri Kanevsky, David Nahamoo, Tara N. Sainath, ...