An Orthogonal Tensor Rank One Discriminative Graph Embedding Method for Facial Expression Recognition

摘要：

In this paper a new tensor dimensionality reduction algorithm is proposed based on graph embedding and orthogonal tensor rank one decomposition. In the algorithm, both the intra-class local manifold structure and the inter-class margins are enhanced by projecting the original tensors onto a group of orthogonal rank-one tensors, and a novel and effective orthogonalization process is given. In the experiments the algorithm is used for the facial expression recognition and achieves accelerant results.

关键词： dimensioanlity reduction Orthogonal Tensor Rank One Discriminative Graph Embedding (OTR1DGE) facial expression recognition

作者: Shuai Liu Qiuqi Ruan Zhan Wang

作者单位: Institute of Information Science, Beijing Jiaotong University, Beijing 100044, China

会议类型: 国际会议

会议名称: 2011 the Iet 4th International Conference on Wireless,Mobile & Multimedia Networks(第四届无线、移动及多媒体网络国际会议 ICWMMN2011)

会议地点: 北京

会议语种:英文

页码: 243-247

在线出版日期: 2011-11-27（万方平台首次上网日期，不代表论文的发表时间）