70 search results - page 1 / 14 » Efficient Feature Selection in the Presence of Outliers and ... |
AIRS
2008
Springer
13 years 6 months ago
2008
Springer
Although regarded as one of the most successful algorithm to identify predictive features, Relief is quite vulnerable to outliers and noisy features. The recently proposed I-Relief...
ICDM
2008
IEEE
13 years 11 months ago
2008
IEEE
ICCV
2007
IEEE
13 years 10 months ago
2007
IEEE
This paper presents a novel motion segmentation algorithm on the basis of mixture of Dirichlet process (MDP) models, a kind of nonparametric Bayesian framework. In contrast to pre...
CSDA
2007
13 years 4 months ago
2007
In this paper we address the problem of selecting variables or features in a regression model in the presence of both additive (vertical) and leverage outliers. Since variable sel...
EUSFLAT
2009
13 years 2 months ago
2009
Fuzzy C-Means (FCM) and hard clustering are the most common tools for data partitioning. However, the presence of noisy observations in the data may cause generation of completely ...