15 search results - page 1 / 3 » Sparse CCA using a Lasso with positivity constraints |
CSDA
2010
13 years 9 months ago
2010
NIPS
2008
14 years 9 days ago
2008
Covariance estimation for high dimensional vectors is a classically difficult problem in statistical analysis and machine learning. In this paper, we propose a maximum likelihood ...
BMCBI
2010
13 years 11 months ago
2010
Background: Single nucleotide polymorphism (SNP) based association studies aim at identifying SNPs associated with phenotypes, for example, complex diseases. The associated SNPs m...
ICML
2007
IEEE
14 years 11 months ago
2007
IEEE
We present a new approach to multiple instance learning (MIL) that is particularly effective when the positive bags are sparse (i.e. contain few positive instances). Unlike other ...
ICIP
2010
IEEE
13 years 8 months ago
2010
IEEE
Semi-automated object segmentation is an important step in the cinema post-production workflow. We propose a dense motion based segmentation process that employs sparse feature ba...