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» Boosting Object Detection Using Feature Selection
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APBC
2004
132views Bioinformatics» more  APBC 2004»
15 years 3 months ago
A Novel Feature Selection Method to Improve Classification of Gene Expression Data
This paper introduces a novel method for minimum number of gene (feature) selection for a classification problem based on gene expression data with an objective function to maximi...
Liang Goh, Qun Song, Nikola K. Kasabov
122
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FGR
2008
IEEE
168views Biometrics» more  FGR 2008»
15 years 8 months ago
A bottom-up framework for robust facial feature detection
Registration of facial features is a significant step towards a complete solution of the face recognition problem. We have built a general framework for detecting a set of indivi...
Victor Erukhimov, Kuang-chih Lee
CVPR
2005
IEEE
16 years 4 months ago
Part-Based Statistical Models for Object Classification and Detection
We propose using simple mixture models to define a set of mid-level binary local features based on binary oriented edge input. The features capture natural local structures in the...
Elliot Joel Bernstein, Yali Amit
ICCV
2005
IEEE
16 years 4 months ago
Local Features for Object Class Recognition
In this paper we compare the performance of local detectors and descriptors in the context of object class recognition. Recently, many detectors / descriptors have been evaluated ...
Krystian Mikolajczyk, Bastian Leibe, Bernt Schiele
SIBGRAPI
1999
IEEE
15 years 6 months ago
A Framework for Attention and Object Categorization Using a Stereo Head Robot
This work describes a framework for dealing with attention and categorization using a robot platform consisting of an articulated stereo-head with four degrees of freedom (pan, til...
Luiz M. G. Gonçalves, Antonio A. F. Oliveir...