Client-Friendly Classification over Random Hyperplane Hashes.
Shyamsundar RajaramMartin ScholzPublished in: ECML/PKDD (2) (2008)
Keyphrases
- hyperplane
- classification procedure
- support vector
- training samples
- decision boundary
- feature space
- support vector machine
- linearly separable
- svm classifier
- classification accuracy
- pattern recognition
- input space
- data points
- maximal margin
- linear classifiers
- incremental learning algorithm
- convex hull
- linear separability
- class labels
- kernel function
- support vector machine svm
- training data
- feature selection
- machine learning
- high dimensional data
- text classification
- image classification
- feature vectors
- decision trees
- high dimensional feature space
- computer vision
- data mining
- data sets