488 search results - page 21 / 98 » Boosting algorithms for simultaneous feature extraction and ... |
PKDD
2009
Springer
14 years 2 months ago
2009
Springer
A frequent problem in density level-set estimation is the choice of the right features that give rise to compact and concise representations of the observed data. We present an eï¬...
JMLR
2010
13 years 2 months ago
2010
The problem of automatic feature selection/weighting in kernel methods is examined. We work on a formulation that optimizes both the weights of features and the parameters of the ...
BMCBI
2004
13 years 7 months ago
2004
Background: Clustering is one of the most commonly used methods for discovering hidden structure in microarray gene expression data. Most current methods for clustering samples ar...
ECCV
2006
Springer
14 years 9 months ago
2006
Springer
Abstract. This paper proposes a new approach to learning a discriminative model of object classes, incorporating appearance, shape and context information efficiently. The learned ...
ICDAR
2009
IEEE
13 years 5 months ago
2009
IEEE
We report an automatic feature discovery method that achieves results comparable to a manually chosen, larger feature set on a document image content extraction problem: the locat...