Imputation of missing data using Bayesian Principal Component Analysis on TEC ionospheric satellite dataset.
P. SubashiniM. KrishnaveniPublished in: CCECE (2011)
Keyphrases
- missing data
- multiple imputation
- principal component analysis
- imputation methods
- missing values
- low rank
- statistical databases
- incomplete data
- structure from motion
- data imputation
- covariance matrix
- dirichlet process mixture models
- dimensionality reduction
- automatic relevance determination
- motion segmentation
- matrix factorization
- principal components
- dimension reduction
- imprecise data
- linear discriminant analysis
- remote sensing
- face recognition
- database
- negative matrix factorization
- neural network
- missing information
- low dimensional
- face images
- feature space
- bayesian networks
- discriminant analysis
- singular value decomposition
- point correspondences
- expectation maximization
- image segmentation
- computer vision