Spatial regularization in subspace learning for face recognition: implicit vs. explicit.
Yulian ZhuSongcan ChenQing TianPublished in: Neurocomputing (2016)
Keyphrases
- subspace learning
- face recognition
- dimensionality reduction
- principal component analysis
- linear subspace
- data representation
- sparse representation
- subspace learning algorithm
- robust face recognition
- learning algorithm
- low dimensional
- spatial information
- subspace analysis
- sparse coding
- face images
- high dimensional data
- manifold learning
- locality preserving projections
- fisher criterion
- facial expressions
- semi supervised
- feature selection
- machine learning
- low resolution