Classification with Low Rank and Missing Data.
Elad HazanRoi LivniYishay MansourPublished in: CoRR (2015)
Keyphrases
- missing data
- low rank
- multiple imputation
- matrix completion
- matrix factorization
- missing values
- low rank matrix
- incomplete data
- motion segmentation
- linear combination
- rank minimization
- pattern recognition
- singular value decomposition
- structure from motion
- low rank matrix factorization
- convex optimization
- decision trees
- singular values
- data matrix
- affinity matrix
- machine learning
- support vector machine
- active learning
- feature extraction
- sparse representation
- machine learning algorithms
- high dimensional data
- image classification
- feature space
- data analysis
- support vector
- feature selection