Ensembles and Cascading of Embedded Prototype Subspace Classifiers.
Anders HastMats LindPublished in: J. WSCG (2020)
Keyphrases
- decision trees
- ensemble learning
- classifier ensemble
- subspace methods
- weighted voting
- ensemble classifier
- multiple classifier systems
- ensemble methods
- diversity measures
- combining classifiers
- semi supervised dimensionality reduction
- support vector
- low dimensional
- training data
- ensemble members
- test sample
- dimensionality reduction
- linear classifiers
- naive bayes
- imbalanced data
- majority voting
- feature ranking
- semi supervised
- multiple classifiers
- trained classifiers
- classification models
- lower dimensional
- classifier combination
- feature subspace
- feature selection
- generalization ability
- data sets
- embedded systems
- classification algorithm
- test set
- feature extraction
- feature space
- training examples
- training set
- high dimensional
- principal component analysis
- training samples
- face recognition
- active learning
- supervised learning
- linear combination
- individual classifiers
- random forests
- machine learning algorithms
- benchmark datasets
- subspace learning
- meta learning