Making a Shallow Network Deep: Growing a Tree from Decision Regions of a Boosting Classifier.
Tae-Kyun KimIgnas BudvytisRoberto CipollaPublished in: BMVC (2010)
Keyphrases
- feature selection
- weak learners
- classification trees
- weak classifiers
- network structure
- peer to peer
- ensemble learning
- feature space
- support vector
- question answering
- complex networks
- training data
- learning algorithm
- spanning tree
- machine learning
- ensemble methods
- linear classifiers
- training error
- tree structure
- image regions
- decision trees
- decision making
- index structure
- multi class
- support vector machine
- network model
- training set
- feature extraction
- image segmentation
- feature maps
- adaboost algorithm
- pruning algorithm
- neural network
- decision stumps