Sensors | |
An Efficient Orthonormalization-Free Approach for Sparse Dictionary Learning and Dual Principal Component Pursuit | |
Xiaoyin Hu1  Xin Liu2  | |
[1] Academy of Mathematics and Systems Science, Chinese Academy of Sciences, Beijing 100190, China;State Key Laboratory of Scientific and Engineering Computing, Academy of Mathematics and Systems Science, Chinese Academy of Sciences, and University of Chinese Academy of Sciences, Beijing 100049, China; | |
关键词: dual principal component pursuit; orthogonality constraint; sparse dictionary learning; stiefel manifold; | |
DOI : 10.3390/s20113041 | |
来源: DOAJ |
【 摘 要 】
Sparse dictionary learning (SDL) is a classic representation learning method and has been widely used in data analysis. Recently, the
【 授权许可】
Unknown