Noncircular Principal Component Analysis and Its Application to Model Selection.
Xi-Lin LiTülay AdaliMatthew AndersonPublished in: IEEE Trans. Signal Process. (2011)
Keyphrases
- model selection
- principal component analysis
- cross validation
- principal components
- hyperparameters
- bayesian learning
- sample size
- regression model
- independent component analysis
- parameter estimation
- mixture model
- variable selection
- model selection criteria
- machine learning
- feature selection
- linear discriminant analysis
- dimensionality reduction
- face recognition
- statistical learning
- generalization error
- feature space
- motion segmentation
- meta learning
- statistical inference
- feature extraction
- information criterion
- error estimation
- marginal likelihood
- discriminant analysis
- generalization bounds
- low dimensional
- bayesian methods
- learning algorithm