Local PCA Regression for Missing Data Estimation in Telecommunication Dataset.
Takeshi SatoBing Quan HuangY. HuangM. Tahar KechadiPublished in: PRICAI (2010)
Keyphrases
- missing data
- principal component analysis
- missing values
- structure from motion
- imputation methods
- regression model
- incomplete data
- low rank
- motion segmentation
- matrix factorization
- multiple imputation
- dimensionality reduction
- face recognition
- model selection
- data imputation
- low dimensional
- support vector
- feature extraction
- density estimation
- high dimensional
- missing information
- feature space
- imprecise data