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» Manifold-adaptive dimension estimation
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CSDA
2008
158views more  CSDA 2008»
14 years 9 months ago
Outlier identification in high dimensions
A computationally fast procedure for identifying outliers is presented, that is particularly effective in high dimensions. This algorithm utilizes simple properties of principal c...
Peter Filzmoser, Ricardo A. Maronna, Mark Werner
CCIA
2008
Springer
14 years 11 months ago
On the Dimensions of Data Complexity through Synthetic Data Sets
Abstract. This paper deals with the characterization of data complexity and the relationship with the classification accuracy. We study three dimensions of data complexity: the len...
Núria Macià, Ester Bernadó-Ma...
GECCO
2006
Springer
123views Optimization» more  GECCO 2006»
15 years 1 months ago
Reconsidering the progress rate theory for evolution strategies in finite dimensions
This paper investigates the limits of the predictions based on the classical progress rate theory for Evolution Strategies. We explain on the sphere function why positive progress...
Anne Auger, Nikolaus Hansen
CVPR
1999
IEEE
15 years 11 months ago
Implicit Representation and Scene Reconstruction from Probability Density Functions
A technique is presented for representing linear features as probability density functions in two or three dimensions. Three chief advantages of this approach are (1) a unified re...
Steven M. Seitz, P. Anandan
BMCBI
2008
157views more  BMCBI 2008»
14 years 10 months ago
Dimension reduction with redundant gene elimination for tumor classification
Background: Analysis of gene expression data for tumor classification is an important application of bioinformatics methods. But it is hard to analyse gene expression data from DN...
Xue-Qiang Zeng, Guo-Zheng Li, Jack Y. Yang, Mary Q...