Kernel-based low-rank feature extraction on a budget for big data streams.
Fatemeh SheikholeslamiDimitris BerberidisGeorgios B. GiannakisPublished in: GlobalSIP (2015)
Keyphrases
- big data
- low rank
- feature extraction
- convex optimization
- missing data
- linear combination
- rank minimization
- matrix factorization
- data analysis
- cloud computing
- big data analytics
- high order
- low rank matrix
- data management
- high dimensional data
- singular value decomposition
- matrix completion
- data processing
- social media
- business intelligence
- semi supervised
- kernel matrix
- dimensionality reduction
- image classification
- image processing
- knowledge discovery
- feature selection
- feature space
- principal component analysis
- kernel methods
- face recognition
- feature vectors
- manifold learning
- kernel pca
- trace norm
- singular values
- support vector machine
- machine learning
- information retrieval
- data points
- kernel principal component analysis
- interior point methods
- decision making
- information processing
- association rules