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» Robust Multivariate Methods: The Projection Pursuit Approach
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GFKL
2005
Springer
82views Data Mining» more  GFKL 2005»
13 years 10 months ago
Robust Multivariate Methods: The Projection Pursuit Approach
Projection pursuit was originally introduced to identify structures in multivariate data clouds (Huber, 1985). The idea of projecting data to a lowdimensional subspace can also be ...
Peter Filzmoser, Sven Serneels, Christophe Croux, ...
ECCV
2002
Springer
14 years 6 months ago
Robust Computer Vision through Kernel Density Estimation
Abstract. Two new techniques based on nonparametric estimation of probability densities are introduced which improve on the performance of equivalent robust methods currently emplo...
Haifeng Chen, Peter Meer
ICCV
2003
IEEE
14 years 6 months ago
Robust Regression with Projection Based M-estimators
The robust regression techniques in the RANSAC family are popular today in computer vision, but their performance depends on a user supplied threshold. We eliminate this drawback ...
Haifeng Chen, Peter Meer
IJCNN
2007
IEEE
13 years 11 months ago
A Wrapper for Projection Pursuit Learning
– Constructive algorithms are effective methods for designing Artificial Neural Networks (ANN) with good accuracy and generalization capability, yet with parsimonious network str...
Leonardo M. Holschuh, Clodoaldo Ap. M. Lima, Ferna...
CAISE
1999
Springer
13 years 9 months ago
A Multi-variant Approach to Software Process Modelling
: In this article we present a new approach to software process modelling for a large banking organisation. In the past years, the main software development methods and tools of th...
Wolfgang Hesse, Jörg Noack