Semi-Unsupervised Learning with Deep Generative Models: Clustering and Classifying using Ultra-Sparse Labels.
Matthew WillettsStephen J. RobertsChristopher C. HolmesPublished in: CoRR (2019)
Keyphrases
- unsupervised learning
- generative model
- deep belief networks
- sparse coding
- semi supervised
- mixture model
- expectation maximization
- deep learning
- supervised learning
- deep architectures
- data clustering
- semi supervised learning
- probabilistic model
- discriminative models
- discriminative learning
- conditional random fields
- discriminative methods
- cluster analysis
- em algorithm
- prior knowledge
- restricted boltzmann machine
- clustering algorithm
- training examples
- machine learning
- training set
- pairwise
- clustering method
- training data
- class labels
- k means
- object categories
- object recognition
- pairwise constraints
- topic models
- model selection
- labeled data
- data points
- learning process
- dimensionality reduction
- natural images
- computer vision
- data sets
- hierarchical hidden markov models