An MRF-based kernel method for nonlinear feature extraction.
Pi-Fuei HsiehPo-Wen ChouHsueh-Yi ChungPublished in: Image Vis. Comput. (2010)
Keyphrases
- kernel methods
- kernel principal component analysis
- kernel pca
- feature extraction
- feature space
- high dimensional feature space
- kernel function
- kernel matrix
- learning problems
- support vector
- support vector machine
- markov random field
- machine learning
- principal component analysis
- feature vectors
- face recognition
- image processing
- reproducing kernel hilbert space
- hilbert space
- dimension reduction
- discriminant analysis
- support vector machine svm
- graph cuts
- manifold learning
- dimensionality reduction
- classification accuracy
- high dimensional
- rademacher complexity