Comparative Study of PCA and LDA for Rice Seeds Quality Inspection.
Samson Damilola FabiyiHai VuChristos TachtatzisPaul MurrayDavid HarleTrung-Kien DaoIvan AndonovicJinchang RenStephen MarshallPublished in: AFRICON (2019)
Keyphrases
- comparative study
- principal component analysis
- linear discriminant analysis
- face recognition
- dimensionality reduction
- dimension reduction
- feature extraction
- discriminant analysis
- linear discriminate analysis
- principal components analysis
- high quality
- principle component analysis
- subspace methods
- generative model
- principal components
- feature space
- quality control
- latent dirichlet allocation
- subspace analysis
- topic models
- low dimensional
- discriminant projection
- feature dimension
- singular value decomposition
- support vector
- gabor features
- kernel pca
- feature vectors
- quality measures
- pattern recognition
- co occurrence
- independent component analysis