Principal Component Analysis over Continuous Subspaces and Intersection of Half-Spaces.
Anat LevinAmnon ShashuaPublished in: ECCV (3) (2002)
Keyphrases
- half spaces
- principal component analysis
- concept classes
- low dimensional
- learning theory
- principal components
- dimensionality reduction
- feature extraction
- euclidean space
- face recognition
- high dimensional data
- concept class
- face images
- feature space
- data points
- vc dimension
- training samples
- high dimensional
- training set
- membership queries
- pac learning
- data sets