Research map / Learning theory and algorithms / Matrix and tensor methods
Streaming and Distributed Algorithms for Robust Column Subset Selection
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Use k-CSS_{1,2} instead of k-CSS_2 for column selection on noisy training images | COIL20 active-learning image classification · COIL20 test | MSE: 17.64 ± 2.97 -> 15.99 ± 2.55; 17.92 ± 3.59 -> 15.41 ± 2.44; 16.49 ± 4.04 -> 13.84 ± 1.55; 14.59 ± 1.85 -> 13.53 ± 1.16; | Helped |
| Use k-CSS_{1,2} instead of random column selection | COIL20 active-learning image classification · COIL20 test | MSE: 16.29± 2.94 -> 15.99 ± 2.55; 15.94 ± 2.17 -> 15.41 ± 2.44; 14.27 ± 1.68 -> 13.84 ± 1.55; 14.03 ± 1.33 -> 13.53 ± 1.16; 1 | Helped |
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