Timeline for best rank r approximation for non-Frobenius norm
Current License: CC BY-SA 3.0
6 events
| when toggle format | what | by | license | comment | |
|---|---|---|---|---|---|
| Feb 26, 2013 at 21:53 | vote | accept | Timur | ||
| Feb 23, 2013 at 19:05 | answer | added | Suvrit | timeline score: 4 | |
| Feb 19, 2013 at 20:55 | comment | added | Federico Poloni | Hmm, good point! I was too quick and didn't think it through. | |
| Feb 19, 2013 at 20:18 | comment | added | Timur | Problem with this is that definition of rank is not invariant with this rescaling - for example, if you do element-wise rescaling of matrix by itself you can get matrix of rank $0$. | |
| Feb 19, 2013 at 20:01 | comment | added | Federico Poloni | The norm that you are suggesting is simply a weighted version of the Frobenius norm. So you just have to rescale the entries of the matrix according to the weights and apply Eckart-Young on the resulting problem. | |
| Feb 19, 2013 at 19:42 | history | asked | Timur | CC BY-SA 3.0 |