Truncated variational EM for semi-supervised neural simpletrons.
Dennis ForsterJörg LückePublished in: IJCNN (2017)
Keyphrases
- parameter estimation
- semi supervised
- expectation maximization
- em algorithm
- image segmentation
- network architecture
- semi supervised learning
- labeled data
- unsupervised learning
- model selection
- generative model
- neural network
- unlabeled data
- pairwise
- multi view
- supervised learning
- active learning
- mixture model
- neural fuzzy
- gaussian mixture model
- neural model
- bio inspired
- semi supervised clustering
- optical flow
- optical flow computation
- variational methods
- semi supervised classification
- expectation maximisation
- feature selection
- label propagation
- pairwise constraints
- subspace learning
- co training
- biologically plausible
- machine learning