Inference for Heteroskedastic PCA with Missing Data.
Yuling YanYuxin ChenJianqing FanPublished in: CoRR (2021)
Keyphrases
- missing data
- principal component analysis
- incomplete data
- missing values
- structure from motion
- low rank
- dirichlet process mixture models
- matrix factorization
- motion segmentation
- multiple imputation
- dimension reduction
- data imputation
- bayesian inference
- high dimensional
- bayesian networks
- face recognition
- singular value decomposition
- feature space
- bayesian model
- missing information
- neural network
- principal components
- face images
- data analysis
- imprecise data
- feature extraction