137 search results - page 6 / 28 » Sparse Semi-supervised Learning Using Conjugate Functions |
ICIP
2006
IEEE
14 years 9 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
12 years 11 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...
ICML
2009
IEEE
14 years 8 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...
CORR
2012
Springer
12 years 3 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...
TMI
2008
13 years 7 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...