137 search results - page 6 / 28 » Sparse Semi-supervised Learning Using Conjugate Functions |
88
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ICIP
2006
IEEE
16 years 2 months ago
2006
IEEE
Sparse image reconstruction is of interest in the fields of radioastronomy and molecular imaging. The observation is assumed to be a linear transformation of the image, and corrup...
ICASSP
2011
IEEE
14 years 4 months ago
2011
IEEE
This paper presents a simple randomised algorithm for recovering high-dimensional sparse functions, i.e. functions f : [0, 1]d → R which depend effectively only on k out of d va...
113
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ICML
2009
IEEE
16 years 1 months ago
2009
IEEE
We propose a nonparametric extension to the factor analysis problem using a beta process prior. This beta process factor analysis (BPFA) model allows for a dataset to be decompose...
107
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CORR
2012
Springer
13 years 8 months ago
2012
Springer
We present sparse topical coding (STC), a non-probabilistic formulation of topic models for discovering latent representations of large collections of data. Unlike probabilistic t...
106
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TMI
2008
14 years 11 months ago
2008
A method is presented for the analysis of dynamic positron emission tomography (PET) data using sparse Bayesian learning. Parameters are estimated in a compartmental framework usin...