Joint dimensionality reduction for face recognition based on D-KSVD.
Yong-Sheng HuJie LiZhao YangJun-Guo LuJian-Bo SuPublished in: ICMLC (2016)
Keyphrases
- dimensionality reduction
- face recognition
- sparse representation
- dictionary learning
- principal component analysis
- reconstruction error
- linear discriminant analysis
- feature extraction
- neighborhood preserving
- linear dimensionality reduction
- subspace learning
- discriminant analysis
- high dimensional data
- dimensionality reduction methods
- high dimensionality
- face images
- low dimensional
- kernel discriminant analysis
- pattern recognition
- locality preserving projections
- sparse coding
- high dimensional
- singular value decomposition
- graph embedding
- kernel pca
- manifold learning
- data points
- recognition rate
- principal components
- data representation
- feature space
- unsupervised learning
- feature selection
- higher order
- image compression