Title : ( Tree Fusion Method for Semantic Concept Detection in Images )
Authors: Jafar Mansouri , Morteza Khademi ,
Full TextAbstract
A novel fusion method for semantic concept detection in images, called tree fusion is proposed. Various kinds of features are given to different classifiers. Then, according to the importance of features and effectiveness of classifiers, the results of feature-classifier pairs are ranked and fused using C4.5 algorithm. Experimental results conducted on the MSRC and PASCAL VOC 2007 datasets have demonstrated the effectiveness of the proposed method over the traditional fusion methods
Keywords
, Fusion, concept detection
@article{paperid:1046470,
author = {Mansouri, Jafar and Khademi, Morteza},
title = {Tree Fusion Method for Semantic Concept Detection in Images},
journal = {IEICE Transactions on Information and Systems},
year = {2014},
volume = {E97.D},
number = {8},
month = {August},
issn = {0916-8532},
pages = {2209--2211},
numpages = {2},
keywords = {Fusion; concept detection},
}
%0 Journal Article
%T Tree Fusion Method for Semantic Concept Detection in Images
%A Mansouri, Jafar
%A Khademi, Morteza
%J IEICE Transactions on Information and Systems
%@ 0916-8532
%D 2014
