Feature Extraction Using Low-Rank Approximations of the Kernel Matrix.
Ana R. TeixeiraAna Maria ToméElmar Wolfgang LangPublished in: ICIAR (2008)
Keyphrases
- kernel matrix
- low rank approximation
- feature extraction
- feature space
- kernel methods
- low rank
- kernel function
- metric learning
- kernel matrices
- input space
- dimensionality reduction
- model selection
- support vectors
- training samples
- positive definite
- image processing
- feature selection
- face recognition
- reproducing kernel hilbert space
- feature vectors
- classification accuracy
- principal component analysis
- low dimensional
- missing data
- eigendecomposition
- image classification
- feature set
- semi supervised
- learning algorithm
- ls svm
- support vector
- convex optimization
- training set
- dimension reduction
- pairwise
- linear combination
- data sets