Edit distance-based kernel functions for structural pattern classification.
Michel NeuhausHorst BunkePublished in: Pattern Recognit. (2006)
Keyphrases
- pattern classification
- kernel function
- support vector
- kernel methods
- feature space
- pattern recognition
- feature extraction
- input space
- support vector machine
- kernel matrix
- nearest neighbor rule
- kernel learning
- high dimensional feature space
- hyperplane
- high dimensional
- gaussian kernels
- decision boundary
- support vectors
- pattern classification problems
- multiple kernel learning
- representer theorem
- euclidean distance
- feature set
- structural features
- maximum margin
- reproducing kernel hilbert space
- mixture model
- distance measure
- machine learning
- neural network
- kernel trick
- image processing
- kernel matrices