Supervised Feature Extraction Using Hilbert-Schmidt Norms.
Povilas DaniusisPranas VaitkusPublished in: IDEAL (2009)
Keyphrases
- feature extraction
- hilbert schmidt
- feature selection
- reproducing kernel hilbert space
- feature vectors
- semi supervised
- learning algorithm
- supervised learning
- face recognition
- image processing
- dimensionality reduction
- feature set
- unsupervised learning
- decision trees
- feature space
- wavelet transform
- active learning
- probability density function
- euclidean space