D-3: Algorithms for Data Analytics I |
| Session Type: Virtual |
| Time: Wednesday, November 03, 08:15 - 09:45 |
| Location: Room 3 |
| Virtual Session: Attend on Virtual Platform |
| Session Chair: Scott Douglas, Southern Methodist University |
| D-3.1: QuantileRK: Solving Large-scale Linear Systems with Corrupted, Noisy Data |
| Benjamin Jarman; University of California, Los Angeles |
| Deanna Needell; University of California, Los Angeles |
| D-3.2: System Identification via the Adjoint Method |
| Harish S. Bhat; University of California, Merced |
| D-3.3: A Hybrid Scattering Transform for Signals with Isolated Singularities |
| Michael Perlmutter; University of California, Los Angeles |
| Jieqian He; Michigan State University |
| Mark Iwen; Michigan State University |
| Matthew Hirn; Michigan State University |
| D-3.4: Online Segmented Recursive Least Squares (OSRLS) |
| Jae Won Choi; University of Illinois Urbana-Champaign |
| Jeffrey Ludwig; University of California, Irvine |
| Andrew Singer; University of Illinois Urbana-Champaign |
| D-3.5: Blind Source Separation Under Signal Covariance Constraints: Criteria and Algorithms |
| Scott Douglas; Southern Methodist University |
| Timothy DeFries; Eastern Research Group |