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» Margin based feature selection - theory and algorithms
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BMCBI
2005
190views more  BMCBI 2005»
13 years 7 months ago
An Entropy-based gene selection method for cancer classification using microarray data
Background: Accurate diagnosis of cancer subtypes remains a challenging problem. Building classifiers based on gene expression data is a promising approach; yet the selection of n...
Xiaoxing Liu, Arun Krishnan, Adrian Mondry
CVPR
1998
IEEE
14 years 9 months ago
Real-Time 2-D Feature Detection on a Reconfigurable Computer
We have designed and implemented a system for real-time detection of 2-D features on a reconfigurable computer based on Field Programmable Gate Arrays (FPGA `s). We envision this ...
Arrigo Benedetti, Pietro Perona
ICPR
2004
IEEE
14 years 8 months ago
3D Surface Reconstruction by Self-Consistent Fusion of Shading and Shadow Features
In this paper a novel framework for three-dimensional surface reconstruction by self-consistent fusion of shading and shadow features is presented. Based on the analysis of at lea...
Christian Wöhler
CSB
2005
IEEE
143views Bioinformatics» more  CSB 2005»
14 years 1 months ago
Multivariate gene selection: Does it help
When building predictors of disease state based on gene expression data, gene selection is performed in order to achieve a good performance and to identify a relevant subset of ge...
Carmen Lai, Marcel J. T. Reinders
MCS
2007
Springer
14 years 1 months ago
Selecting Diversifying Heuristics for Cluster Ensembles
Abstract. Cluster ensembles are deemed to be better than single clustering algorithms for discovering complex or noisy structures in data. Various heuristics for constructing such ...
Stefan Todorov Hadjitodorov, Ludmila I. Kuncheva