Fixed-Rank Approximation of a Positive-Semidefinite Matrix from Streaming Data.
Joel A. TroppAlp YurtseverMadeleine UdellVolkan CevherPublished in: CoRR (2017)
Keyphrases
- positive semidefinite
- streaming data
- positive semidefinite matrices
- semidefinite programming
- polynomial kernels
- data streams
- kernel matrix
- kernel function
- sliding window
- metric learning
- semidefinite
- linear combination
- kernel methods
- concept drift
- similarity function
- anomaly detection
- data distribution
- string kernels
- interior point methods
- convex sets
- support vector machine
- low rank
- linear programming
- learning tasks
- data mining
- distance function
- nearest neighbor
- feature space
- database systems
- machine learning