135 search results - page 17 / 27 » Feature hashing for large scale multitask learning |
BMCBI
2007
13 years 7 months ago
2007
Background: Many important high throughput projects use in situ hybridization and may require the analysis of images of spatial cross sections of organisms taken with cellular lev...
CVPR
2010
IEEE
14 years 1 months ago
2010
IEEE
Most existing approaches for learning action models work by extracting suitable low-level features and then training appropriate classifiers. Such approaches require large amount...
CIKM
2000
Springer
13 years 12 months ago
2000
Springer
Naïve Bayes (NB) classifier has long been considered a core methodology in text classification mainly due to its simplicity and computational efficiency. There is an increasing n...
ICML
2009
IEEE
13 years 5 months ago
2009
IEEE
We often seek to identify co-occurring hidden features in a set of observations. The Indian Buffet Process (IBP) provides a nonparametric prior on the features present in each obs...
ICB
2007
Springer
13 years 11 months ago
2007
Springer
Abstract. In state-of-the-art iris recognition systems, the input iris image has to be compared with a large number of templates in database. When the scale of iris database increa...