A Tale of Three Probabilistic Families: Discriminative, Descriptive and Generative Models.
Ying Nian WuRuiqi GaoTian HanSong-Chun ZhuPublished in: CoRR (2018)
Keyphrases
- generative model
- discriminative models
- discriminative learning
- generative and discriminative models
- probabilistic model
- semi supervised
- discriminative methods
- posterior probability
- maximum entropy principle
- mixture model
- fisher kernel
- latent dirichlet allocation
- prior knowledge
- discriminatively trained
- conditional random fields
- hidden variables
- discriminative learning framework
- sparse coding
- topic models
- object categories
- naive bayes models
- unsupervised learning
- latent space
- object recognition
- hierarchical hidden markov models
- representational power
- similarity measure
- object parts
- parameter learning
- maximum entropy
- bag of words
- semi supervised learning
- expectation maximization
- graphical models
- active learning