Finding
Experiment results demonstrate the efficient of our approach.
Paper
Boosting Graph Embedding with Application to Facial Expression Recognition
Abstract
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.
Authors
Lei Xiong, Duyan Bi, Xu Zhou
Journal
2009 Fifth International Conference on Information Assurance and Security
copied to clipboard