Discriminant Eigenfaces: A New Ranking Method for Principal Components Analysis.
Carlos E. ThomazGilson Antonio GiraldiPublished in: SBIA (2008)
Keyphrases
- principal components analysis
- principal component analysis
- linear discriminant analysis
- face recognition
- discriminant analysis
- covariance matrix
- principal components
- feature extraction
- dimensionality reduction
- face space
- exploratory data analysis
- locality preserving projections
- text categorisation
- facial images
- low dimensional
- face databases
- linear discriminant
- fisher criterion
- fisher linear discriminant
- multivariate statistical analysis
- face images
- support vector machine
- independent component analysis
- support vector
- hand geometry
- neural network
- gait recognition
- high dimensional data
- dimensionality reduction methods
- manifold learning
- human faces
- pattern recognition
- decision trees
- machine learning
- data mining