Random projections for Bayesian regression.
Leo N. GeppertKatja IckstadtAlexander MunteanuJens QuedenfeldChristian SohlerPublished in: Stat. Comput. (2017)
Keyphrases
- random projections
- dimensionality reduction
- compressive sensing
- compressed sensing
- sparse representation
- image reconstruction
- dimension reduction
- random sampling
- principal component analysis
- low dimensional
- maximum likelihood
- original data
- hash functions
- high dimensionality
- model selection
- data sets
- object recognition
- support vector
- natural language processing
- preprocessing