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» Sensitivity of trust-region algorithms to their parameters
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BMCBI
2011
12 years 10 months ago
Elastic SCAD as a novel penalization method for SVM classification tasks in high-dimensional data
Background: Classification and variable selection play an important role in knowledge discovery in highdimensional data. Although Support Vector Machine (SVM) algorithms are among...
Natalia Becker, Grischa Toedt, Peter Lichter, Axel...
CIKM
2009
Springer
14 years 1 months ago
Reducing the risk of query expansion via robust constrained optimization
We introduce a new theoretical derivation, evaluation methods, and extensive empirical analysis for an automatic query expansion framework in which model estimation is cast as a r...
Kevyn Collins-Thompson
VISUALIZATION
2002
IEEE
13 years 11 months ago
Fast Visualization of Plane-Like Structures in Voxel Data
We present a robust, noise-resistant criterion characterizing planelike skeletons in binary voxel objects. It is based on a distance map and the geodesic distance along the object...
Steffen Prohaska, Hans-Christian Hege
KDD
2008
ACM
213views Data Mining» more  KDD 2008»
14 years 7 months ago
Heterogeneous data fusion for alzheimer's disease study
Effective diagnosis of Alzheimer's disease (AD) is of primary importance in biomedical research. Recent studies have demonstrated that neuroimaging parameters are sensitive a...
Jieping Ye, Kewei Chen, Teresa Wu, Jing Li, Zheng ...
SIGGRAPH
2000
ACM
13 years 11 months ago
Sampling plausible solutions to multi-body constraint problems
Traditional collision intensive multi-body simulations are difficult to control due to extreme sensitivity to initial conditions or model parameters. Furthermore, there may be mu...
Stephen Chenney, David A. Forsyth