@inproceedings{11113ae8b17a4dbf8be6689147cbe11c,
title = "Image classification by combining multiple SVMs",
abstract = "In this paper, a novel framework is proposed for classifying images, which integrates several sets of Support Vector Machines(SVM) on multiple low level image features. In the proposed framework several global image features are extracted from the input images, and SVM using linear kernel with probability outputs are constructed on each feature. The outputs of the SVM classifiers are then combined by g2-fuzzy integral. The density value of the fuzzy integral for each classifier is trained by using grid searching algorithm. Compared with some current systems, our proposed framework demonstrates a promising performance for an image database of general-purpose images from Corel image library.",
keywords = "Fuzzy integral, Global image feature, Image classification, Support Vector Machines",
author = "Zhang, \{De Yuan\} and Liu, \{Bing Quan\} and Wang, \{Xiao Long\} and Wang, \{Li Juan\}",
year = "2008",
doi = "10.1109/ICMLC.2008.4620380",
language = "英语",
isbn = "9781424420964",
series = "Proceedings of the 7th International Conference on Machine Learning and Cybernetics, ICMLC",
publisher = "IEEE Computer Society",
pages = "68--73",
booktitle = "Proceedings of the 7th International Conference on Machine Learning and Cybernetics, ICMLC",
address = "美国",
note = "7th International Conference on Machine Learning and Cybernetics, ICMLC 2008 ; Conference date: 12-07-2008 Through 15-07-2008",
}