Application of SVM in intelligent robot information acquisition and processing: a survey
Jianhe Lei, Quanjun Song, Jinghua Ma, Liankui Qiu, Yunjian Ge · 2005
SVM (support vector machines) is a new machine learning technique developed on statistical learning theory and has attracted more and more attentions. For machine learning tasks involving pattern classification, multi sensors information fusion, non-linear system control, etc, SVMs have become increasingly popular tools. In this paper, we survey the recent new development on the research and application of SVM in intelligent robot information acquisition and processing. Some important issues and the directions of further research are pointed out also.