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ECAI
2010
Springer
13 years 4 months ago
Feature Selection by Approximating the Markov Blanket in a Kernel-Induced Space
The proposed feature selection method aims to find a minimum subset of the most informative variables for classification/regression by efficiently approximating the Markov Blanket ...
Qiang Lou, Zoran Obradovic
NIPS
2004
13 years 8 months ago
On Semi-Supervised Classification
A graph-based prior is proposed for parametric semi-supervised classification. The prior utilizes both labelled and unlabelled data; it also integrates features from multiple view...
Balaji Krishnapuram, David Williams, Ya Xue, Alexa...
ICPR
2006
IEEE
14 years 8 months ago
Evaluation of 3D Facial Feature Selection for Individual Facial Model Identification
Face recognition using 3D information has been intensively investigated in recent years. The features selected from 3D facial surfaces are invariant to pose and lighting condition...
Lijun Yin, Yi Sun
BMCBI
2010
138views more  BMCBI 2010»
13 years 7 months ago
UFFizi: a generic platform for ranking informative features
Background: Feature selection is an important pre-processing task in the analysis of complex data. Selecting an appropriate subset of features can improve classification or cluste...
Assaf Gottlieb, Roy Varshavsky, Michal Linial, Dav...
EVOW
2007
Springer
13 years 11 months ago
Multiclass Object Recognition Based on Texture Linear Genetic Programming
This paper presents a linear genetic programming approach, that solves simultaneously the region selection and feature extraction tasks, that are applicable to common image recogni...
Gustavo Olague, Eva Romero, Leonardo Trujillo, Bir...