作者
Shuai Liu, Qiuqi Ruan
发表日期
2010/10/24
研讨会论文
IEEE 10th INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING PROCEEDINGS
页码范围
1710-1713
出版商
IEEE
简介
A new tensor dimensionality reduction algorithm, Orthogonal Tensor Marginal Fisher Analysis (OTMFA), is proposed in this paper, which finds a set of orthonormal transformation matrices based on Tensor Marginal Fisher Analysis (TMFA). The obtained orthonormal transformation matrices do not distort the metric of the original tensor space such that the manifold structure of the input tensors can be better preserved. The experimental results show the effectiveness of the proposed algorithm for facial expression recognition.
学术搜索中的文章
S Liu, Q Ruan - IEEE 10th INTERNATIONAL CONFERENCE ON …, 2010