# Incremental Nonnegative Matrix Factorization for Face Recognition

@article{Chen2008IncrementalNM, title={Incremental Nonnegative Matrix Factorization for Face Recognition}, author={Wen-Sheng Chen and Binbin Pan and Bin Fang and Ming Li and Jianliang Tang}, journal={Mathematical Problems in Engineering}, year={2008}, volume={2008}, pages={1-17} }

Nonnegative matrix factorization (NMF) is a promising approach for local feature extraction in face recognition tasks. However, there are two major drawbacks in almost all existing NMF-based methods. One shortcoming is that the computational cost is expensive for large matrix decomposition. The other is that it must conduct repetitive learning, when the training samples or classes are updated. To overcome these two limitations, this paper proposes a novel incremental nonnegative matrix… Expand

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