Random projections for Bayesian regression.
Leo N. GeppertKatja IckstadtAlexander MunteanuJens QuedenfeldChristian SohlerPublished in: CoRR (2015)
Keyphrases
- random projections
- compressed sensing
- compressive sensing
- dimensionality reduction
- dimension reduction
- original data
- random sampling
- sparse representation
- principal component analysis
- low dimensional
- image reconstruction
- hash functions
- model selection
- document clustering
- clustering method
- high dimensionality
- high dimensional data
- data sets
- unsupervised learning
- worst case
- preprocessing
- multiscale
- feature extraction
- data mining
- neural network