Research map / Learning theory and algorithms / Matrix and tensor methods
Translation Synchronization via Truncated Least Squares
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| use TranSync truncated least squares instead of coordinate descent on the L1 program | translation synchronization · Synthetic dense irregular Gdi, p=0.4, sigma=0.01 | median coordinate error: 17.59e-2 -> 0.52e-2 | Helped |
| use TranSync instead of coordinate descent | translation synchronization · Synthetic dense regular Gdr, p=0.4, sigma=0.04 | median coordinate error: 4.73e-2 -> 1.22e-2 | Helped |
| use TranSync instead of coordinate descent | translation synchronization · Synthetic sparse regular Gsr, p=0.8, sigma=0.04 | median coordinate error: 2.62e-2 -> 1.55e-2 | Helped |
| use TranSync instead of coordinate descent | translation synchronization · Synthetic sparse regular Gsr, p=1.0, sigma=0.01 | running time: 9.798s -> 0.188s | Helped |
| use TranSync instead of coordinate descent | translation synchronization · Synthetic sparse irregular Gsi, p=0.8, sigma=0.01 | running time: 10.236s -> 1.835s | Helped |
| use TranSync instead of coordinate descent | translation synchronization · Synthetic dense regular Gdr, p=0.8, sigma=0.01 | running time: 0.781s -> 0.149s | Helped |
| use TranSync instead of coordinate descent | joint alignment of point clouds · Patriot Circle Lidar (6K scans) | trajectory reconstruction | Helped |
| final TranSync prediction after pruning inconsistent comparisons vs initial prediction | TranSync · Netflix movie ranking | consistency with MRQE ranking | Helped |
| use TranSync instead of HodgeRank variants | ranking · Netflix six movies | consistency with MRQE ranking | Helped |
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