Uncertainty Visualization via Low-Dimensional Posterior Projections.
Omer YairElias NehmeTomer MichaeliPublished in: CoRR (2023)
Keyphrases
- low dimensional
- multidimensional scaling
- high dimensional
- high dimensional data
- dimensionality reduction
- data points
- three dimensional
- manifold learning
- principal component analysis
- euclidean space
- input space
- probability distribution
- dimension reduction
- generative topographic mapping
- uncertain data
- data analysis
- discrete tomography
- data visualization
- vector space
- nearest neighbor
- visual representation
- linear subspace
- radon transform
- decision theory
- robust optimization
- interactive visualization
- graph embedding
- gaussian process
- data sets
- conditional probabilities
- bayesian framework
- linear dimensionality reduction
- posterior probability
- probabilistic model
- pairwise
- machine learning