DocumentCode
697910
Title
Learning Dirichlet kernel histogram functions for pattern recognition
Author
Niijima, Koichi
Author_Institution
Kyushu Univ., Fukuoka, Japan
fYear
2009
fDate
24-28 Aug. 2009
Firstpage
1528
Lastpage
1532
Abstract
A formula of approximating histograms is presented. The formula is an explicit function of data permitting the inclusion of unknown parameters. The parameters in the formula are learned so as to classify training data to build a pattern classifier. Recognition is performed by applying the classifier to testing data. Our method is used for the recognition of vehicle-type.
Keywords
image classification; learning (artificial intelligence); object recognition; Dirichlet kernel histogram functions; pattern classifier; pattern recognition; vehicle-type; Abstracts; Histograms; Testing;
fLanguage
English
Publisher
ieee
Conference_Titel
Signal Processing Conference, 2009 17th European
Conference_Location
Glasgow
Print_ISBN
978-161-7388-76-7
Type
conf
Filename
7077482
Link To Document