Selection and validation of parameters in multiple linear and principal component regressions.
José Carlos M. PiresFernando Gomes MartinsS. I. V. SousaM. C. M. Alvim-FerrazM. C. PereiraPublished in: Environ. Model. Softw. (2008)
Keyphrases
- principal components
- linear model
- principal component analysis
- multivariate data
- fine tuning
- parameter estimation
- transfer function
- principal component regression
- hyperplane
- nonlinear models
- feature selection
- spatial filters
- computer vision
- expectation maximization
- maximum likelihood estimation
- input data
- weight vector
- face recognition
- kernel space