Topic Models with Sparse and Group-Sparsity Inducing Priors.
Christian PölitzPublished in: DMNLP@PKDD/ECML (2016)
Keyphrases
- topic models
- group sparsity
- structured sparsity
- sparse coding
- dictionary learning
- generative model
- sparse representation
- latent dirichlet allocation
- low rank
- statistical learning
- bayesian framework
- compressive sensing
- co occurrence
- linear combination
- text mining
- latent topics
- natural images
- probabilistic model
- image representation
- image classification
- prior knowledge
- maximum a posteriori
- group lasso
- missing data
- convex optimization
- learning problems
- face recognition
- unsupervised learning
- knn
- pairwise