Subspace Learning and Imputation for Streaming Big Data Matrices and Tensors.
Morteza MardaniGonzalo MateosGeorgios B. GiannakisPublished in: IEEE Trans. Signal Process. (2015)
Keyphrases
- big data
- subspace learning
- dimensionality reduction
- cloud computing
- data analysis
- missing values
- data representation
- manifold learning
- data management
- missing data
- singular value decomposition
- data processing
- high dimensional data
- principal component analysis
- social media
- low dimensional
- positive definite
- learning algorithm
- sparse representation
- big data analytics
- business intelligence
- semi supervised
- sparse coding
- face recognition
- data warehousing
- data warehouse
- high dimensional
- knowledge discovery
- feature space
- computer vision
- diffusion tensor
- machine learning
- databases