Separable and Low-Rank Continuous Games.
Noah D. SteinAsuman E. OzdaglarPablo A. ParriloPublished in: CDC (2006)
Keyphrases
- low rank
- matrix factorization
- missing data
- convex optimization
- linear combination
- singular value decomposition
- low rank matrix
- rank minimization
- matrix completion
- semi supervised
- matrix decomposition
- kernel matrix
- trace norm
- high dimensional data
- high order
- minimization problems
- robust principal component analysis
- data matrix
- image classification
- collaborative filtering
- nonnegative matrix factorization
- affinity matrix
- dimensionality reduction
- training data
- feature extraction
- learning algorithm
- non rigid structure from motion
- low rank representation
- low rank matrices
- low rank and sparse
- neural network