Boosting Graph Embedding with Application to Facial Ezpression Recognition

摘要：

As a general framework in feature extract technology, Graph embedding has been paid much attention. Integrate graph embedding with boosting method is a potential developing way. We are the first successfully attempt to incorporate these two technology together. Further more, a new adjacency graph weighting method called “classification graph was proposed. By using this more suitable graph, the performance of the boosting graph embedding was improved. Experiment results demonstrate the efficient of our approach.

关键词： Boosting method Graph embedding Facial ezpression recognition Locality Preserving Projections g

作者: Lei XIONG Duyan BI Xu ZHOU Shiping MA

作者单位: Engineering School Air Force Engineering University Xian,China

会议类型: 国际会议

会议名称: The Fifth International Conference on Information Assurance and Security(第五届信息保障与安全国际会议)

会议地点: 西安

会议语种:英文

页码: 707-710

在线出版日期: 2009-08-18（万方平台首次上网日期，不代表论文的发表时间）