A Generative Model of Textures Using Hierarchical Probabilistic Principal Component Analysis.
Aiga SuzukiHayaru ShounoPublished in: CoRR (2018)
Keyphrases
- generative model
- probabilistic principal component analysis
- em algorithm
- pitman yor process
- probabilistic model
- mixture model
- expectation maximization
- discriminative learning
- posterior probability
- conditional random fields
- dynamic textures
- bayesian framework
- topic models
- latent variables
- prior knowledge
- unsupervised learning
- semi supervised
- latent dirichlet allocation
- markov chain monte carlo
- hierarchical bayesian model
- generative and discriminative models
- information retrieval
- discriminative models
- texture synthesis
- sparse coding
- object recognition