Maximum Margin Linear Classifiers in Unions of Subspaces.
Xinrui LyuJoaquin ZepedaPatrick PérezPublished in: BMVC (2016)
Keyphrases
- maximum margin
- linear classifiers
- hyperplane
- generalization error
- data points
- linear classification
- feature space
- multi task
- support vector
- high dimensional data
- high dimensional
- training samples
- low dimensional
- cross validation
- learning algorithm
- multi class
- support vector machine
- convex hull
- principal components
- active learning
- principal component analysis
- upper bound
- input space
- kernel function
- nearest neighbor
- hyperparameters
- training set
- svm classifier
- sample size
- data sets
- model selection
- markov networks
- training data
- machine learning
- transfer learning
- multiple kernel learning