Research Article
Discriminative Label Relaxed Regression with Adaptive Graph Learning
Table 6
Average recognition rate of different methods on the UMIST database (%).
| Methods | The number (or proportion) of the training samples per class | 1 (21.05%) | 2 (26.31%) | 3 (31.58%) | 4 (36.84%) | 5 (42.10%) |
| CRC | 46.77 | 60.00 | 71.55 | 74.68 | 84.33 | LRC | 48.53 | 60.56 | 71.72 | 75.63 | 84.60 | FLRC | 49.93 | 60.88 | 72.87 | 76.24 | 83.97 | FME | 56.25 | 58.28 | 69.79 | 75.31 | 83.29 | JGLDA | 53.13 | 59.67 | 69.66 | 78.59 | 87.80 | DLSR | 55.45 | 60.00 | 74.25 | 80.23 | 85.98 | DLRR_AG | 56.78 | 61.69 | 73.79 | 81.61 | 88.28 |
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Bold values indicate the highest recognition rate of all methods.
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