Small Sample Learning of Superpixel Classifiers for EM Segmentation.

Toufiq Parag Stephen M. Plaza Louis Scheffer

Published in: MICCAI (1) (2014)

Keyphrases

small sample
sample size
machine learning
learning tasks
unsupervised learning
learning process
reinforcement learning
image segmentation
learning problems
support vector
feature extraction
active learning
em algorithm
model selection
decision trees
learning algorithm
feature selection algorithms
data sets