PCA versus LDA for Dental Identification.
Young-suk ShinSera NoMyung-Su KimPublished in: ICDM (Posters and Workshops) (2007)
Keyphrases
- principal component analysis
- linear discriminant analysis
- face recognition
- linear discriminate analysis
- dimensionality reduction
- discriminant analysis
- feature extraction
- principal components analysis
- dimension reduction
- subspace methods
- independent component analysis
- principle component analysis
- latent dirichlet allocation
- feature space
- gabor features
- principal components
- topic models
- scatter matrices
- feature dimension
- pca lda
- orl face
- null space
- discriminant projection
- discriminative subspace
- machine learning
- kernel principal component analysis
- kernel pca
- covariance matrix
- computer vision
- automatic identification
- random projections
- scatter matrix
- generative model
- low dimensional
- appearance based object recognition
- face images
- pattern recognition