Learning Hierarchical Features from Generative Models.
Shengjia ZhaoJiaming SongStefano ErmonPublished in: CoRR (2017)
Keyphrases
- generative model
- discriminative learning
- prior knowledge
- deep belief networks
- feature representations
- learned models
- discriminatively trained
- probabilistic model
- mixture model
- hidden variables
- boltzmann machine
- feature vectors
- learning process
- learning tasks
- parameter learning
- feature selection
- em algorithm
- hierarchical models
- discriminative models
- image features
- object detection
- supervised learning
- maximum entropy
- conditional random fields
- learning algorithm
- unsupervised learning
- image classification