A Riemannian perspective on matrix recovery and constrained optimization
<p>Nonlinear matrix recovery is an emerging paradigm in which specific classes of high-rank matrices can be recovered from an underdetermined linear system of measurements. In particular, we consider matrices whose columns, seen as data points, belong to an algebraic variety, namely, a set def...
| Tác giả chính: | |
|---|---|
| Tác giả khác: | |
| Định dạng: | Luận văn |
| Ngôn ngữ: | English |
| Được phát hành: |
2021
|
| Những chủ đề: |