Keyphrases
- vis nir
- spectral data
- discriminant analysis
- principal components
- principle component analysis
- principal component analysis
- least squares support vector machine
- partial least squares
- linear discriminant analysis
- face recognition
- ls svm
- dimension reduction
- dimensionality reduction
- feature extraction
- independent component analysis
- svm classifier
- maximum likelihood
- covariance matrix
- bayesian inference
- feature space
- partial least squares regression
- bayesian networks
- random projections
- least squares
- factor analysis
- variable selection
- em algorithm
- machine learning
- singular value decomposition