Subspace Diffusion Generative Models.
Bowen JingGabriele CorsoRenato BerlinghieriTommi JaakkolaPublished in: ECCV (23) (2022)
Keyphrases
- generative model
- probabilistic model
- mixture model
- low dimensional
- prior knowledge
- hierarchical hidden markov models
- discriminative learning
- topic models
- principal component analysis
- semi supervised
- discriminative models
- high dimensional
- subspace methods
- high dimensional data
- em algorithm
- feature extraction
- conditional random fields
- decision trees
- maximum entropy principle
- feature space
- expectation maximization
- dimensionality reduction
- generative and discriminative models
- linear subspace
- sparse coding
- discriminative methods
- feature selection
- representational power
- image processing
- object categories
- active learning