Low-dimensional Embeddings for Interpretable Anchor-based Topic Inference.
Moontae LeeDavid M. MimnoPublished in: CoRR (2017)
Keyphrases
- low dimensional
- high dimensional
- manifold learning
- dimensionality reduction
- high dimensional data
- euclidean space
- data points
- principal component analysis
- dimension reduction
- bayesian networks
- vector space
- lower dimensional
- nonlinear dimensionality reduction
- feature space
- multi document summarization
- belief networks
- image processing
- low dimensional spaces
- topic models
- similarity search
- probabilistic inference
- bayesian inference
- linear subspace
- graph embedding