Incremental generalized low rank approximation of matrices for visual learning and recognition

@article{Nakouri2015IncrementalGL,
  title={Incremental generalized low rank approximation of matrices for visual learning and recognition},
  author={Ha{\"i}fa Nakouri and M. Limam},
  journal={Pattern Recognition and Image Analysis},
  year={2015},
  volume={25},
  pages={68-72}
}
In this paper, we consider the problem of incrementally computing low-rank approximations of matrices. We propose an incremental low rank approximation algorithm of a sequence of matrices instead of one single matrix. Based on the generalized Low Rank Approximation of matrices approach, the proposed method uses an iterative approach to update the generated low rank structures. We tested the proposed incremental learning method on five face databases to evaluate its efficiency in terms of… CONTINUE READING
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