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» Boosting Object Detection Using Feature Selection
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BMCBI
2008
160views more  BMCBI 2008»
15 years 2 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...
ESANN
2006
15 years 3 months ago
On the selection of hidden neurons with heuristic search strategies for approximation
Abstract. Feature Selection techniques usually follow some search strategy to select a suitable subset from a set of features. Most neural network growing algorithms perform a sear...
Ignacio Barrio, Enrique Romero, Lluís A. Be...
MVA
2007
162views Computer Vision» more  MVA 2007»
15 years 3 months ago
Detection of Fundus Lesions Using Classifier Selection
A system for detecting fundus lesions caused by diabetic retinopathy from fundus images is being developed. The system can screen the images in advance in order to reduce the insp...
Hiroto Nagayoshi, Yoshitaka Hiramatsu, Hiroshi Sak...
133
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KBS
2008
98views more  KBS 2008»
15 years 21 days ago
Mixed feature selection based on granulation and approximation
Feature subset selection presents a common challenge for the applications where data with tens or hundreds of features are available. Existing feature selection algorithms are mai...
Qinghua Hu, Jinfu Liu, Daren Yu
CIVR
2007
Springer
254views Image Analysis» more  CIVR 2007»
15 years 6 months ago
Soccer players identification based on visual local features
Semantic detection and recognition of objects and events contained in a video stream has to be performed in order to provide content-based annotation and retrieval of videos. This...
Lamberto Ballan, Marco Bertini, Alberto Del Bimbo,...