Analyzing the Training Processes of Deep Generative Models.
Mengchen LiuJiaxin ShiKelei CaoJun ZhuShixia LiuPublished in: IEEE Trans. Vis. Comput. Graph. (2018)
Keyphrases
- generative model
- deep belief networks
- probabilistic model
- discriminative learning
- discriminatively trained
- discriminative models
- mixture model
- em algorithm
- conditional random fields
- hierarchical hidden markov models
- generative and discriminative models
- semi supervised
- prior knowledge
- maximum entropy principle
- training set
- expectation maximization
- training examples
- topic models
- object categories
- restricted boltzmann machine
- representational power
- clustering algorithm
- image segmentation
- discriminative methods
- hierarchical models
- hidden variables
- image set
- computer vision
- object detection