5802 search results - page 177 / 1161 » Parallelizing Feature Selection |
120
Voted
ICCV
1999
IEEE
16 years 4 months ago
1999
IEEE
Existing sequential feature-based registration algorithms involving search typically either select features randomly (eg. the RANSAC[8] approach) or assume a predefined, intuitive...
125
Voted
JMLR
2008
15 years 2 months ago
2008
Feature ranking is a fundamental machine learning task with various applications, including feature selection and decision tree learning. We describe and analyze a new feature ran...
150
Voted
JBI
2007
15 years 2 months ago
2007
In medical image analysis, the image content is often represented by computed features that need to be interpreted at a clinical level of understanding to support lopment of clini...
139
Voted
ICML
2007
IEEE
16 years 3 months ago
2007
IEEE
In many prediction tasks, selecting relevant features is essential for achieving good generalization performance. Most feature selection algorithms consider all features to be a p...
NAACL
2007
15 years 4 months ago
2007
Relation extraction is the task of finding semantic relations between entities from text. The state-of-the-art methods for relation extraction are mostly based on statistical lea...