1489 search results - page 21 / 298 » Optimizing Feature Sets for Structured Data |
ESWA
2008
13 years 7 months ago
2008
This paper proposes a novel method called FLGP to construct a classifier device of capability in feature selection and feature extraction. FLGP is developed with layered genetic p...
ICPR
2008
IEEE
14 years 2 months ago
2008
IEEE
Linear discriminant analysis (LDA) is a widely-used feature extraction method in classification. However, the original LDA has limitations due to the assumption of a unimodal str...
GECCO
2008
Springer
13 years 8 months ago
2008
Springer
Selective sampling is a form of active learning which can reduce the cost of training by only drawing informative data points into the training set. This selected training set is ...
ICANN
2003
Springer
14 years 23 days ago
2003
Springer
We suggest a new approach to optimize the learning of sparse features under the constraints of explicit transformation symmetries imposed on the set of feature vectors. Given a set...
MICCAI
2007
Springer
14 years 1 months ago
2007
Springer
In this paper we propose a weakly supervised learning algorithm for appearance models based on the minimum description length (MDL) principle. From a set of training images or volu...