Approximate nonparametric quantile regression in reproducing kernel Hilbert spaces via random projection.
Fode ZhangRui LiHeng LianPublished in: Inf. Sci. (2021)
Keyphrases
- random projections
- dimension reduction
- dimensionality reduction
- random sampling
- principal component analysis
- original data
- sparse representation
- image reconstruction
- document clustering
- low dimensional
- loss function
- kernel methods
- high dimensionality
- text classification
- hash functions
- gaussian process
- high dimensional data
- machine learning
- density estimation
- optical flow
- learning algorithm