42 search results - page 3 / 9 » A Linear Subspace Learning Approach via Sparse Coding |
ICASSP
2011
IEEE
12 years 9 months ago
2011
IEEE
We address the problem of denoising for image patches. The approach taken is based on Bayesian modeling of sparse representations, which takes into account dependencies between th...
ICCV
2009
IEEE
14 years 10 months ago
2009
IEEE
Scenes with cast shadows can produce complex sets of
images. These images cannot be well approximated by lowdimensional
linear subspaces. However, in this paper we
show that the...
JMLR
2010
13 years 17 days ago
2010
Given several related learning tasks, we propose a nonparametric Bayesian model that captures task relatedness by assuming that the task parameters (i.e., predictors) share a late...
TCSV
2008
13 years 5 months ago
2008
Conventional subspace learning or recent feature extraction methods consider globality as the key criterion to design discriminative algorithms for image classification. We demonst...
JMLR
2006
13 years 5 months ago
2006
Many kernel learning algorithms, including support vector machines, result in a kernel machine, such as a kernel classifier, whose key component is a weight vector in a feature sp...