1956 search results - page 78 / 392 » Learning the Relative Importance of Features in Image Data |
CVPR
2012
IEEE
11 years 11 months ago
2012
IEEE
In this paper, we propose a bilevel sparse coding model for coupled feature spaces, where we aim to learn dictionaries for sparse modeling in both spaces while enforcing some desi...
BMCBI
2006
13 years 8 months ago
2006
Background: Due to the large number of genes in a typical microarray dataset, feature selection looks set to play an important role in reducing noise and computational cost in gen...
KDD
2010
ACM
13 years 10 months ago
2010
ACM
Active learning (AL) is an increasingly popular strategy for mitigating the amount of labeled data required to train classifiers, thereby reducing annotator effort. We describe ...
NIPS
2007
13 years 10 months ago
2007
We present a new and efficient semi-supervised training method for parameter estimation and feature selection in conditional random fields (CRFs). In real-world applications suc...
SIGMOD
2006
ACM
14 years 8 months ago
2006
ACM
Relational XQuery systems try to re-use mature relational data management infrastructures to create fast and scalable XML database technology. This paper describes the main featur...