Small Sample Learning of Superpixel Classifiers for EM Segmentation- Extended Version.
Toufiq ParagStephen PlazaLouis SchefferPublished in: CoRR (2014)
Keyphrases
- small sample
- learning process
- learning algorithm
- sample size
- prior knowledge
- learning tasks
- image segmentation
- reinforcement learning
- incremental learning
- feature extraction
- high dimensional
- neural network
- active learning
- text classification
- maximum likelihood
- unsupervised learning
- decision trees
- feature selection
- learning problems
- learning models
- machine learning