Minimum Density Hyperplane: An Unsupervised and Semi-Supervised Classifier.
Nicos G. PavlidisDavid P. HofmeyrSotiris K. TasoulisPublished in: CoRR (2015)
Keyphrases
- hyperplane
- maximum margin
- unsupervised and semi supervised
- linear classifiers
- training samples
- support vector
- feature space
- decision boundary
- svm classifier
- support vector machine
- training data
- data points
- input space
- kernel function
- training set
- principal components
- learning algorithm
- semi supervised
- feature set
- linear svm
- kernel methods
- feature selection
- support vectors
- class labels
- support vector machine svm
- classification accuracy
- high dimensional
- feature extraction
- machine learning
- multiple kernel learning
- face recognition
- binary classification
- training process
- cross validation
- supervised learning