Generalization Bounds for Subspace Selection and Hyperbolic PCA.
Andreas MaurerPublished in: SLSFS (2005)
Keyphrases
- generalization bounds
- principal component analysis
- data dependent
- learning theory
- generalization ability
- linear classifiers
- model selection
- principal components
- ranking algorithm
- learning problems
- vc dimension
- statistical learning theory
- dimensionality reduction
- face recognition
- feature space
- learning algorithm
- feature extraction
- covariance matrix
- support vector machine svm
- kernel machines
- learning machines
- machine learning
- cross validation
- partial differential equations
- ranking functions
- support vector machine
- k means
- high dimensional
- real valued
- upper bound
- ensemble learning
- face images
- image processing
- theoretical framework