Subspace learning based on label release and low-rank representation for small sample face recognition.
Mengmeng LiaoXiaojin FanYan LiPublished in: ICIT (2022)
Keyphrases
- subspace learning
- small sample
- linear subspace
- face recognition
- dimensionality reduction
- high dimensional
- sample size
- low dimensional
- manifold learning
- principal component analysis
- high dimensionality
- data representation
- sparse representation
- face images
- sparse coding
- support vector machine
- semi supervised
- feature selection
- high dimensional data
- linear discriminant analysis
- dimension reduction
- image classification
- low rank
- feature extraction
- model selection
- optical flow
- image processing
- neural network