10285 search results - page 83 / 2057 » Composing Feature Models |
118
Voted
ICPR
2006
IEEE
16 years 3 months ago
2006
IEEE
In this paper active feature models are proposed. They utilize local texture features and a statistical shape model for the reliable localization of landmarks in images. They are ...
117
Voted
VAMOS
2010
Springer
15 years 4 months ago
2010
Springer
Feature models are a common way to represent variability in software product line engineering. For this purpose, most authors use a graphical notation based on FODA. The main drawb...
118
Voted
SCIA
2007
Springer
15 years 8 months ago
2007
Springer
Abstract. The accuracy of data classification methods depends considerably on the data representation and on the selected features. In this work, the elastic net model selection i...
127
Voted
WACV
2005
IEEE
15 years 8 months ago
2005
IEEE
A number of recent systems for unsupervised featurebased learning of object models take advantage of cooccurrence: broadly, they search for clusters of discriminative features tha...
131
Voted
ICMLA
2009
15 years 11 days ago
2009
Abstract--Feature selection is an important challenge in machine learning. Unfortunately, most methods for automating feature selection are designed for supervised learning tasks a...