Non-negative Principal Component Analysis for Face Recognition

@inproceedings{Yan2012NonnegativePC,
  title={Non-negative Principal Component Analysis for Face Recognition},
  author={Zhang Yan and Fang Yubin},
  year={2012}
}
Principle component analysis is often combined with the state-of-art classification algorithms to recognize human faces. However, principle component analysis can only capture these features contributing to the global characteristics of data because it is a global feature selection algorithm. It misses those features contributing to the local characteristics of data because each principal component only contains some levels of global characteristics of data. In this study, we present a novel… CONTINUE READING