Local Similarity Based Linear Discriminant Analysis for Face Recognition with Single Sample per Person.
Fan LiuYe BiYan CuiZhenmin TangPublished in: ACCV Workshops (3) (2014)
Keyphrases
- linear discriminant analysis
- face recognition
- discriminant analysis
- principal component analysis
- discriminant features
- dimensionality reduction
- dimension reduction
- feature extraction
- small sample size
- high dimensional data
- subspace methods
- feature space
- support vector
- face images
- facial expressions
- support vector machine svm
- fisher criterion
- kernel discriminant analysis
- class separability
- discriminative information
- linear discriminant
- null space
- gabor features
- nonparametric discriminant analysis
- sparse representation
- face detection
- computer vision
- human faces
- recognition rate
- support vector machine
- data sets
- feature analysis
- recognition accuracy
- locality preserving projections
- scatter matrices
- machine learning
- neural network
- qr decomposition
- pca lda
- discriminant vectors