15 search results - page 1 / 3 » Sparse CCA using a Lasso with positivity constraints |
CSDA
2010
13 years 3 months ago
2010
NIPS
2008
13 years 6 months 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 4 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 5 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 2 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...