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» Local Dimensionality Reduction
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AMC
2011
14 years 4 months ago
Large correlation analysis
:In this paper, a novel supervised dimensionality reduction method is developed based on both the correlation analysis and the idea of large margin learning. The method aims to m...
Xiaohong Chen, Songcan Chen, Hui Xue
120
Voted
CORR
2012
Springer
198views Education» more  CORR 2012»
13 years 8 months ago
Lipschitz Parametrization of Probabilistic Graphical Models
We show that the log-likelihood of several probabilistic graphical models is Lipschitz continuous with respect to the ￿p-norm of the parameters. We discuss several implications ...
Jean Honorio
110
Voted
MICCAI
2003
Springer
16 years 1 months ago
Caudate Shape Discrimination in Schizophrenia Using Template-Free Non-parametric Tests
This paper describes shape analysis of the caudate nucleus structure in a large schizophrenia study (30 controls, 60 schizophrenics). Although analysis of the caudate has not drawn...
Y. Sampath K. Vetsa, Martin Styner, Stephen M. Piz...
127
Voted
FIMH
2009
Springer
14 years 10 months ago
Discriminative Joint Context for Automatic Landmark Set Detection from a Single Cardiac MR Long Axis Slice
Cardiac magnetic resonance (MR) imaging has advanced to become a powerful diagnostic tool in clinical practice. Automatic detection of anatomic landmarks from MR images is importan...
Xiaoguang Lu, Bogdan Georgescu, Arne Littmann, Edg...
BMCBI
2008
157views more  BMCBI 2008»
15 years 22 days 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...