High-dimensional model recovery from random sketched data by exploring intrinsic sparsity.
Tianbao YangLijun ZhangQihang LinShenghuo ZhuRong JinPublished in: Mach. Learn. (2020)
Keyphrases
- high dimensional
- experimental data
- input data
- data sets
- computational model
- prior knowledge
- discrete data
- test data
- mathematical model
- training data
- high quality
- noisy data
- statistical methods
- high dimensional data
- data structure
- data sources
- probabilistic model
- data mining techniques
- end users
- image data
- prior information
- raw data
- database
- sparse data
- sparse representation
- measured data
- simulation data
- statistical analysis
- data collection
- network structure
- empirical data
- learning models
- data quality
- regression model
- missing data
- high level
- nearest neighbor
- multi dimensional