Nearest Local Hyperplane Rules for Pattern Classification.
Gábor TakácsBéla PátkaiPublished in: AI*IA (2007)
Keyphrases
- pattern classification
- hyperplane
- data points
- decision boundary
- maximum margin
- support vector
- training samples
- feature extraction
- feature space
- linear classifiers
- input space
- nearest neighbor rule
- pattern recognition
- kernel function
- maximal margin
- incremental learning algorithm
- principal components
- nearest neighbor
- pattern classification problems
- convex hull
- svm classifier
- linearly separable
- support vectors
- high dimensional data
- support vector machine
- high dimensional
- machine learning
- low dimensional
- image processing
- decision trees
- object recognition
- semi supervised
- signal processing
- euclidean distance
- distance function
- data sets
- image classification