Image classification by combining multiple SVMS

• Published in: 2008 International Conference on Machine Learning and Cybernetics Vol. 1; pp. 68 - 73
• Main Authors: De-Yuan Zhang, Bing-Quan Liu, Xiao-Long Wang, Li-Juan Wang
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01.07.2008
• Subjects: Accuracy; Classification algorithms; Feature extraction; Fuzzy integral; Global image feature; Image classification; Image color analysis; Support vector machines; Training

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 proba...