Efficient model selection for regularized linear discriminant analysis.
Jieping YeTao XiongQi LiRavi JanardanJinbo BiVladimir CherkasskyChandra KambhamettuPublished in: CIKM (2006)
Keyphrases
- model selection
- linear discriminant analysis
- discriminant analysis
- cross validation
- face recognition
- hyperparameters
- principal component analysis
- selection criterion
- feature selection
- dimensionality reduction
- sample size
- regression model
- feature space
- mixture model
- model selection criteria
- machine learning
- dimension reduction
- feature extraction
- unsupervised learning
- support vector
- variable selection
- gaussian process
- null space
- high dimensional data
- support vector machine svm
- least squares
- generalization error
- kernel matrix
- lower bound
- image processing