Flexible High-Dimensional Unsupervised Learning with Missing Data.
Yuhong WeiYang TangPaul D. McNicholasPublished in: IEEE Trans. Pattern Anal. Mach. Intell. (2020)
Keyphrases
- missing data
- unsupervised learning
- high dimensional
- dimensionality reduction
- noisy data
- sparse coding
- missing values
- incomplete data
- low rank
- structure from motion
- supervised learning
- matrix factorization
- low dimensional
- motion segmentation
- nearest neighbor
- feature space
- dimension reduction
- high dimensional data
- semi supervised
- similarity search
- data points
- imprecise data
- multiple imputation
- neural network
- high dimensionality
- expectation maximization
- object recognition
- machine learning
- databases
- data imputation