Online sparse and low-rank subspace learning from incomplete data: A Bayesian view.
Paris V. GiampourasAthanasios A. RontogiannisKonstantinos E. ThemelisKonstantinos D. KoutroumbasPublished in: Signal Process. (2017)
Keyphrases
- incomplete data
- subspace learning
- bayesian networks
- variational bayesian
- missing data
- multiple imputation
- dimensionality reduction
- learning bayesian networks
- missing values
- em algorithm
- manifold learning
- data representation
- incomplete data sets
- principal component analysis
- face recognition
- low dimensional
- sparse coding
- learning algorithm
- semi supervised
- sparse representation
- subspace learning algorithm
- high dimensional data
- expectation maximization
- maximum likelihood
- pattern recognition
- image segmentation