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» Robust Feature Selection Algorithms
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PAMI
2006
215views more  PAMI 2006»
13 years 7 months ago
Bayesian Feature and Model Selection for Gaussian Mixture Models
We present a Bayesian method for mixture model training that simultaneously treats the feature selection and the model selection problem. The method is based on the integration of ...
Constantinos Constantinopoulos, Michalis K. Titsia...
ICCV
2003
IEEE
14 years 9 months ago
Nonmetric Lens Distortion Calibration: Closed-form Solutions, Robust Estimation and Model Selection
This paper addresses the problem of calibrating camera lens distortion, which can be signi?cant in medium to wide angle lenses. While almost all existing nonmetric distortion cali...
Moumen T. El-Melegy, Aly A. Farag
SDM
2009
SIAM
140views Data Mining» more  SDM 2009»
14 years 5 months ago
Straightforward Feature Selection for Scalable Latent Semantic Indexing.
Latent Semantic Indexing (LSI) has been validated to be effective on many small scale text collections. However, little evidence has shown its effectiveness on unsampled large sca...
Jun Yan, Shuicheng Yan, Ning Liu, Zheng Chen
IDEAL
2004
Springer
14 years 1 months ago
Wrapper for Ranking Feature Selection
We propose a new feature selection criterion not based on calculated measures between attributes, or complex and costly distance calculations. Applying a wrapper to the output of a...
Roberto Ruiz, Jesús S. Aguilar-Ruiz, Jos&ea...
BMCBI
2008
160views more  BMCBI 2008»
13 years 8 months ago
Feature selection environment for genomic applications
Background: Feature selection is a pattern recognition approach to choose important variables according to some criteria in order to distinguish or explain certain phenomena (i.e....
Fabrício Martins Lopes, David Correa Martin...