Sub-GAN: An Unsupervised Generative Model via Subspaces.
Jie LiangJufeng YangHsin-Ying LeeKai WangMing-Hsuan YangPublished in: ECCV (11) (2018)
Keyphrases
- generative model
- semi supervised
- probabilistic model
- mixture model
- discriminative learning
- em algorithm
- topic models
- bayesian framework
- prior knowledge
- supervised learning
- conditional random fields
- posterior probability
- unsupervised learning
- latent dirichlet allocation
- high dimensional data
- object categories
- sparse coding
- topic modeling
- discriminative models
- pitman yor process
- linear subspace
- semi supervised learning
- low dimensional
- image classification
- active learning
- high dimensional
- parameter space
- dimensionality reduction
- markov chain monte carlo
- principal component analysis
- learned models
- fisher kernel
- machine learning