Multiple kernel learning and feature space denoising.
Fei YanJosef KittlerKrystian MikolajczykPublished in: ICMLC (2010)
Keyphrases
- multiple kernel learning
- denoising
- feature space
- kernel function
- kernel methods
- feature selection
- multiple features
- image denoising
- multiple kernel
- kernel learning
- total variation
- support vector machine
- learning problems
- feature vectors
- high dimensional
- gaussian kernels
- classification accuracy
- image processing
- linear combination
- input space
- semi supervised learning
- lp norm
- optimal kernel
- high dimensionality
- support vector
- hyperplane
- polynomial kernels
- kernel matrix
- data points
- feature extraction
- training samples
- support vectors
- low dimensional
- learning models
- dimensionality reduction
- binary classification
- image representation
- input data
- principal component analysis
- multi task
- metric learning
- feature subset
- machine learning