Establishing strong imputation performance of a denoising autoencoder in a wide range of missing data problems.
Najmeh AbiriBjörn LinsePatrik EdénMattias OhlssonPublished in: CoRR (2020)
Keyphrases
- missing data
- missing values
- wide range
- denoising
- multiple imputation
- data imputation
- incomplete data
- low rank
- motion segmentation
- matrix factorization
- imprecise data
- structure from motion
- image denoising
- total variation
- missing information
- dirichlet process mixture models
- learning algorithm
- databases
- statistical databases
- matrix completion