A Supervised Neural Autoregressive Topic Model for Simultaneous Image Classification and Annotation
Yin ZhengYu-Jin ZhangHugo LarochellePublished in: CoRR (2013)
Keyphrases
- autoregressive
- topic models
- image classification
- supervised topic models
- weakly supervised
- latent dirichlet allocation
- topic modeling
- non stationary
- random fields
- probabilistic model
- image annotation
- feature extraction
- bag of words
- text mining
- visual features
- generative model
- image representation
- image features
- latent variables
- latent topics
- co occurrence
- semi supervised
- active learning
- learning algorithm
- sar images
- information retrieval
- supervised learning
- multi label
- conditional random fields
- pairwise
- feature space
- feature selection
- machine learning
- unsupervised learning
- probabilistic topic models
- text classification