Incremental Nonnegative Matrix Factorization for Face Recognition

  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},
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
33 Citations
Block kernel Nonnegative Matrix Factorization and its application to Face Recognition
  • 4
A Novel Enhanced Nonnegative Feature Extraction Approach
Incremental Graph Regulated Nonnegative Matrix Factorization for Face Recognition
  • 12
  • PDF
Sparse General Non-Negative Matrix Factorization Based on Left Semi-Tensor Product
  • 1
  • PDF
Non-negative Sparse Representation Based on Block NMF for Face Recognition
  • 8
Nonlinear nonnegative matrix factorization based on Mercer kernel construction
  • 41
Face recognition using enhanced linear discriminant analysis
  • 17
SAR target recognition using nonnegative matrix factorization with L1/2 constraint
  • 8


A Modified Non-negative Matrix Factorization Algorithm for Face Recognition
  • 29
Exploiting discriminant information in nonnegative matrix factorization with application to frontal face verification
  • 319
  • PDF
Topology Preserving Non-negative Matrix Factorization for Face Recognition
  • 146
  • PDF
Improving non-negative matrix factorizations through structured initialization
  • 184
NMF, LNMF, and DNMF modeling of neural receptive fields involved in human facial expression perception
  • I. Buciu, I. Pitas
  • Mathematics, Computer Science
  • J. Vis. Commun. Image Represent.
  • 2006
  • 22
  • PDF
A Novel Discriminant Non-Negative Matrix Factorization Algorithm With Applications to Facial Image Characterization Problems
  • 98
  • PDF
A new sparse image representation algorithm applied to facial expression recognition
  • I. Bociu, I. Pitas
  • Mathematics
  • Proceedings of the 2004 14th IEEE Signal Processing Society Workshop Machine Learning for Signal Processing, 2004.
  • 2004
  • 94
  • PDF
Nonsmooth nonnegative matrix factorization (nsNMF)
  • 369
  • PDF
Learning the parts of objects by non-negative matrix factorization
  • 10,410
  • PDF