Hyperplane arrangements for the fast matching and classification of visual landmarks.
Martin StommelOtthein HerzogWeiliang XuPublished in: Pattern Anal. Appl. (2016)
Keyphrases
- hyperplane
- classification procedure
- support vector
- support vector machine
- decision boundary
- training samples
- feature space
- linearly separable
- svm classifier
- pattern recognition
- classification accuracy
- maximal margin
- linear classifiers
- training set
- visual landmarks
- kernel function
- image classification
- data points
- decision trees
- feature selection
- machine learning
- text classification
- support vector machine svm
- feature extraction
- support vectors
- data sets
- real time
- input space
- training data
- neural network