2D-LDA: A statistical linear discriminant analysis for image matrix.
Ming LiBaozong YuanPublished in: Pattern Recognit. Lett. (2005)
Keyphrases
- linear discriminant analysis
- discriminant analysis
- null space
- face recognition
- principal component analysis
- dimensionality reduction
- dimension reduction
- qr decomposition
- feature extraction
- discriminant features
- input image
- image classification
- feature space
- fisher criterion
- image features
- discriminant information
- support vector machine svm
- high dimensional data
- support vector
- small sample size
- linear discriminant
- image data
- subspace methods
- scatter matrix
- gabor features
- discriminative information
- singular values
- principal components
- projection matrix
- covariance matrix
- computer vision
- scatter matrices
- singular value decomposition
- pattern recognition
- supervised dimensionality reduction
- data sets
- feature selection
- face images