Speeding up SVM Decision Based on Mirror Points

In this paper, we propose a new method to speed up SVM decision based on the idea of mirror points. Decisions based on multiple simple classifiers, which are formed as a result of mirror pairs, are combined to approximate a single SVM. A dynamic programmingbased method is used to find a suitable combination. Experimental results show that this method can increase classification efficiencies of SVM with comparable classification performances.

• Type: Conference
• Year: 2002
• Where: ICPR
• Authors: Jiun-Hung Chen, Chu-Song Chen
• Keywords: Comparable Classification Performances, Computer Vision, ICPR 2002, Single Svm, SVM Decision