An Unsupervised Boosting Learning Algorithm for Finite Mixture Model-based Image Segmentation.
Lin-Sen YuTian-Wen ZhangPublished in: ICVGIP (2004)
Keyphrases
- learning algorithm
- supervised learning
- unsupervised learning
- machine learning
- mixture model
- boosting algorithms
- machine learning algorithms
- boosting framework
- semi supervised
- training examples
- semisupervised learning
- generalization ability
- active learning
- back propagation
- semi supervised learning
- learning problems
- neural network
- training samples
- finite mixture model
- decision stumps
- restricted boltzmann machine
- learning scheme
- learning rate
- generalization error
- learning tasks
- weak classifiers
- hypothesis space
- multi class
- learning models
- gaussian distribution
- reinforcement learning
- classification algorithm