An Accurate Graph Generative Model with Tunable Features.
Takahiro YokoyamaYoshiki SatoSho TsugawaKohei WatabePublished in: ICCCN (2023)
Keyphrases
- generative model
- feature representations
- probabilistic model
- discriminative models
- prior knowledge
- learned models
- bayesian framework
- low level
- primal sketch
- feature vectors
- image features
- posterior probability
- semi supervised
- conditional random fields
- discriminative learning
- markov chain monte carlo
- generative and discriminative models
- hierarchical bayesian model
- keypoints
- dirichlet process mixture models
- feature representation
- machine learning
- topic models
- em algorithm
- co occurrence
- feature space
- image processing