Low Rank Methods Projects

  • Efficient Computation of Robust Low-Rank Matrix Approximations in the Presence of Missing Data using the L1 Norm code
  • Low-Rank Matrix Recovery and Completion via Convex Optimization
  • Predictive low-rank decomposition for kernel methods
  • Improved Nyström Low-rank Approximation for Scalable Manifold Learning