Keyphrases
- low rank
- convex optimization
- matrix factorization
- linear combination
- singular value decomposition
- semi supervised
- matrix completion
- low rank matrix
- missing data
- support vector machine svm
- kernel matrix
- rank minimization
- support vector machine
- support vector
- high order
- trace norm
- robust principal component analysis
- matrix decomposition
- high dimensional data
- knn
- high dimensional
- pairwise
- feature space
- svm classifier
- multi class
- multiple kernel learning
- singular values
- recommender systems
- machine learning