Fixed-Rank Approximation of a Positive-Semidefinite Matrix from Streaming Data.
Joel A. TroppAlp YurtseverMadeleine UdellVolkan CevherPublished in: NIPS (2017)
Keyphrases
- positive semidefinite
- streaming data
- positive semidefinite matrices
- semidefinite programming
- data streams
- polynomial kernels
- semidefinite
- kernel matrix
- sliding window
- metric learning
- concept drift
- kernel function
- similarity function
- kernel methods
- linear combination
- anomaly detection
- data distribution
- data sets
- low rank
- support vector
- linear programming
- string kernels
- interior point methods
- feature space
- neural network
- change detection
- gaussian kernels
- semi supervised
- sufficient conditions
- approximation algorithms