F $F$ -norm two-dimensional linear discriminant analysis and its application on face recognition.
Chun-Na LiYi-Fan QiDa ZhaoTingting GuoLan BaiPublished in: Int. J. Intell. Syst. (2022)
Keyphrases
- linear discriminant analysis
- face recognition
- discriminant analysis
- principal component analysis
- dimensionality reduction
- discriminant features
- small sample size
- dimension reduction
- feature space
- feature extraction
- face images
- linear discriminant
- null space
- high dimensional data
- face detection
- discriminant vectors
- subspace methods
- nonparametric discriminant analysis
- sparse representation
- fisher criterion
- recognition rate
- discriminative information
- face databases
- support vector machine svm
- gabor features
- facial images
- computer vision
- subspace analysis
- support vector
- scatter matrix
- human faces
- generalized discriminant analysis
- feature analysis
- objective function
- scatter matrices
- high dimensionality