Sparse Kernel Orthonormalized PLS for feature extraction in large data sets.
Jerónimo Arenas-GarcíaKaare Brandt PetersenLars Kai HansenPublished in: NIPS (2006)
Keyphrases
- sparse kernel
- feature extraction
- partial least squares
- dimension reduction
- data sets
- discriminant analysis
- pattern classification
- feature vectors
- image processing
- multiple kernel learning
- image classification
- principal component analysis
- latent variables
- face recognition
- feature selection
- support vector machine svm
- feature set
- small number
- multi class
- feature space
- machine learning
- dimensionality reduction
- back propagation
- support vector machine
- classification accuracy
- active learning
- neural network