Enhanced and parameterless Locality Preserving Projections for face recognition

@article{Dornaika2013EnhancedAP,
  title={Enhanced and parameterless Locality Preserving Projections for face recognition},
  author={Fadi Dornaika and Ammar Assoum},
  journal={Neurocomputing},
  year={2013},
  volume={99},
  pages={448-457}
}
In this paper, we address the graph-based linear manifold learning method for object recognition. The proposed method is called enhanced Locality Preserving Projections. The main contribution is a parameterless computation of the affinity matrix that draws on the notion of meaningful and adaptive neighbors. It integrates two interesting properties: (i) being entirely parameter-free and (ii) the graph-based embedding techniques: Locality Preserving Projections (LPP), Orthogonal Locality… CONTINUE READING
Highly Cited
This paper has 23 citations. REVIEW CITATIONS