50 search results - page 3 / 10 » Large Scale Bayesian Inference and Experimental Design for S... |
ITCC
2005
IEEE
13 years 11 months ago
2005
IEEE
We propose a novel, computationally efficient generative topographic model for inferring low dimensional representations of high dimensional data sets, designed to exploit data s...
CORR
2008
Springer
13 years 5 months ago
2008
Springer
Compressive sensing (CS) is an emerging field based on the revelation that a small collection of linear projections of a sparse signal contains enough information for stable, sub-N...
ECML
2007
Springer
13 years 11 months ago
2007
Springer
Abstract. Principal component analysis (PCA) is a well-known classical data analysis technique. There are a number of algorithms for solving the problem, some scaling better than o...
BIBE
2008
IEEE
13 years 12 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...
ICASSP
2007
IEEE
13 years 11 months ago
2007
IEEE
Overcomplete representations are attracting interest in image processing theory, particularly due to their potential to generate sparse representations of data based on their morp...