Manifold Learning and Missing Data Recovery through Unsupervised Regression.
Miguel Á. Carreira-PerpiñánZhengdong LuPublished in: ICDM (2011)
Keyphrases
- missing data
- manifold learning
- semi supervised
- discriminant projection
- dimensionality reduction
- missing values
- low dimensional
- regression model
- low rank
- structure from motion
- unsupervised learning
- incomplete data
- dimension reduction
- noisy data
- supervised learning
- high dimensional
- high dimensional data
- feature extraction
- pairwise
- semi supervised learning
- matrix factorization
- model selection
- feature selection
- active learning
- data sets
- high dimensionality
- discriminant analysis
- support vector
- feature space
- bayesian networks
- image processing
- generative model