Research Article
A Weighted Block Dictionary Learning Algorithm for Classification
Table 3
The recognition accuracies (%) of ScSPM, SRC, K-SVD, D-KSVD, LC-KSVD1, LC-KSVD2, FDDL, SVGDL, and WBDL on Caltech101 database.
| | Training number | 5 | 10 | 15 | 20 | 25 | 30 |
| | ScSPM | — | — | 67.0 | — | — | 73.2 | | SRC | 48.8 | 60.1 | 64.9 | 67.7 | 69.2 | 70.7 | | K-SVD | 49.8 | 59.8 | 65.2 | 68.7 | 71.0 | 73.2 | | D-KSVD | 49.6 | 59.5 | 65.1 | 68.6 | 71.1 | 73.0 | | LC-KSVD1 | 53.5 | 61.9 | 66.8 | 70.3 | 72.1 | 73.4 | | LC-KSVD2 | 54.0 | 63.1 | 67.7 | 70.5 | 72.3 | 73.6 | | FDDL | 53.6 | 63.6 | 66.8 | 69.8 | 71.7 | 73.1 | | SVGDL | 55.3 | 64.3 | 69.6 | 72.3 | 75.1 | 76.7 | | WBDL (global) | 55.8 | 65.1 | 68.8 | 72.8 | 75.2 | 77.0 | | WBDL (local) | 56.0 | 65.3 | 69.2 | 72.8 | 75.3 | 77.0 |
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