A path- and label-cost propagation approach to speedup the training of the optimum-path forest classifier.
Adriana S. IwashitaJoão Paulo PapaAndré N. de SouzaAlexandre X. FalcãoRoberto de Alencar LotufoV. M. OliveiraVictor Hugo C. de AlbuquerqueJoão Manuel R. S. TavaresPublished in: Pattern Recognit. Lett. (2014)
Keyphrases
- optimum path forest
- minimum cost path
- supervised pattern recognition
- nearest neighbor classifier
- decision boundary
- strongly connected
- training samples
- training set
- bayesian classifier
- training process
- training examples
- nearest neighbor
- human brain
- brain tissue
- neural network
- class labels
- support vector machine
- feature space
- training data