Subspace Learning and Imputation for Streaming Big Data Matrices and Tensors.
Morteza MardaniGonzalo MateosGeorgios B. GiannakisPublished in: CoRR (2014)
Keyphrases
- big data
- subspace learning
- dimensionality reduction
- manifold learning
- big data analytics
- missing values
- data analysis
- missing data
- data management
- data representation
- cloud computing
- principal component analysis
- singular value decomposition
- data processing
- sparse coding
- social media
- business intelligence
- high dimensional data
- face recognition
- learning algorithm
- semi supervised
- positive definite
- low dimensional
- database
- knowledge discovery
- sparse representation
- data warehousing
- unsupervised learning
- case study
- multiscale
- feature extraction
- database systems
- covariance matrices
- diffusion tensor