Topic Models, Latent Space Models, Sparse Coding, and All That: A Systematic Understanding of Probabilistic Semantic Extraction in Large Corpus.
Eric P. XingPublished in: ACL (Tutorial Abstracts) (2012)
Keyphrases
- topic models
- sparse coding
- generative model
- probabilistic model
- latent variables
- probabilistic latent semantic analysis
- latent space
- latent dirichlet allocation
- topic modeling
- sparse representation
- natural images
- latent topics
- unsupervised learning
- bayesian framework
- machine learning
- image classification
- model selection
- data analysis
- information extraction
- text mining
- image patches
- object recognition
- visual words
- reinforcement learning