SPMuS_L2: Graph Signal Processing and Learning |
| Session Type: Lecture |
| Time: Wednesday, August 31, 16:10 - 17:50 |
| Location: Mediterranean |
| Session Chair: Geert Leus, Delft University |
| SPMuS_L2.1: EIGENVALUE-BASED BLOCK DIAGONAL REPRESENTATION AND APPLICATION TO $P$-NEAREST NEIGHBOR GRAPHS |
| Aylin Tastan, Michael Muma, Abdelhak Zoubir, Technische Universität Darmstadt, Germany |
| SPMuS_L2.2: DENSITY AWARE BLUE-NOISE SAMPLING ON GRAPHS |
| Daniela Dapena, Gonzalo Arce, University of Delaware, United States; Daniel Lau, University of Kentucky, United States |
| SPMuS_L2.3: VARIANCE REDUCTION IN STOCHASTIC METHODS FOR LARGE-SCALE REGULARIZED LEAST-SQUARES PROBLEMS |
| Yusuf Yigit Pilavci, GIPSA Lab, France; Pierre-Olivier Amblard, Simon Barthelme, Nicolas Tremblay, CNRS, GIPSA LAB, France |
| SPMuS_L2.4: EFFICIENT ROBUST GRAPH LEARNING BASED ON MINIMAX CONCAVE PENALTY AND Γ-CROSS ENTROPY |
| Tatsuya Koyakumaru, Masahiro Yukawa, Keio University, Japan |
| SPMuS_L2.5: NON-NEGATIVE KERNEL GRAPHS FOR TIME-VARYING SIGNALS USING VISIBILITY GRAPHS |
| Ecem Bozkurt, Antonio Ortega, University of Southern California, United States |