Spectral Regression based Local Discriminant Embedding Algorithm for Face Recognition
Available Online August 2013.
- https://doi.org/10.2991/icaicte.2013.120How to use a DOI?
- Face Recognition, Local Discriminant Embedding, Spectral Regression
- Local discriminant embedding algorithm (LDE) can get better recognition performance than the conventional dimensionality reduction algorithms based on subspaces techniques, but LDE is weak generalization performance for high dimension small sample and has huge workload to decompose dense matrix. In this paper, the SR-LDE algorithm is proposed. The spectral regression method is introduced into LDE to improve its generalization performance and reduce complexity for dense matrix decomposition. The experiments show that SR-LDE algorithm has better performance on recognition rate and computing speed.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Bei Huang PY - 2013/08 DA - 2013/08 TI - Spectral Regression based Local Discriminant Embedding Algorithm for Face Recognition BT - 2013 International Conference on Advanced ICT and Education (ICAICTE-13) PB - Atlantis Press SP - 587 EP - 591 SN - 1951-6851 UR - https://doi.org/10.2991/icaicte.2013.120 DO - https://doi.org/10.2991/icaicte.2013.120 ID - Huang2013/08 ER -