Invariant kernel functions for pattern analysis and machine learning.
Bernard HaasdonkHans BurkhardtPublished in: Mach. Learn. (2007)
Keyphrases
- pattern analysis
- kernel function
- machine learning
- pattern recognition
- kernel methods
- support vector machine
- computational intelligence
- support vector
- feature space
- input space
- image analysis
- data analysis
- kernel matrix
- computer vision
- pattern classification
- support vectors
- kernel learning
- decision trees
- feature selection
- high dimensional
- gaussian kernels
- feature set
- learning algorithm
- svm classifier
- learning problems
- kernel matrices
- learning tasks
- high dimensional feature space
- polynomial kernels
- representer theorem
- information extraction
- artificial intelligence
- learning models
- support vector regression
- inductive learning
- dimensionality reduction
- multiple kernel learning
- reproducing kernel hilbert space
- classification accuracy
- active learning
- training data
- feature extraction
- genetic algorithm