Spatio-temporal modeling of PM2.5 concentrations with missing data problem: a case study in Beijing, China.
Qiang PuEun-Hye Enki YooPublished in: Int. J. Geogr. Inf. Sci. (2020)
Keyphrases
- missing data
- spatio temporal
- missing values
- structure from motion
- low rank
- incomplete data
- motion segmentation
- matrix factorization
- imprecise data
- weighted least squares
- moving objects
- multiple imputation
- space time
- rough sets
- automatic relevance determination
- perfect phylogeny
- data imputation
- neural network
- generalized procrustes analysis
- least squares
- management system
- image sequences
- database systems