Paper: | MLSP-L6.1 |
Session: | Matrix and Tensor Methods I |
Session Time: | Thursday, May 16, 08:00 - 10:00 |
Presentation Time: | Thursday, May 16, 08:00 - 08:20 |
Presentation: |
Lecture
|
Topic: |
Machine Learning for Signal Processing: Tensor and Structured Matrix Methods |
Paper Title: |
Fast and Global Optimal Nonconvex Matrix Factorization via Perturbed Alternating Proximal Point |
Authors: |
Songtao Lu; University of Minnesota Twin Cities | | |
| Mingyi Hong; University of Minnesota Twin Cities | | |
| Zhengdao Wang; Iowa State University | | |