Label Distribution Learning by Regularized Sample Self-Representation

Table 6

Intersection   (mean std) × 10³ of different algorithms on the twelve datasets. The best results are enlightened in bold and the second best results are italicized.

Algorithms	PT-SVM	AA-BP	SA-IIS	SA-BFGS	RSSR-LDL2	RSSR-LDL21
Movie	675.3 45.9	795.9 3.1	820.7 4.1	822.1 4.2	837.9 1.4	837.2 5.0
SBU-3DFE	833.8 6.1	823.0 7.9	840.8 4.0	871.4 4.7	850.4 3.2	864.3 1.7
SJAFFE	843.3 10.5	823.1 18.1	851.8 8.5	858.1 15.6	878.4 15.6	883.3 9.2
Yeast-alpha	960.1 1.0	870.8 8.1	952.0 0.9	962.4 1.1	962.5 0.9	962.6 1.0
Yeast-cdc	954.8 1.6	888.2 4.2	947.6 0.9	957.4 1.1	957.6 0.9	957.7 1.0
Yeast-cold	933.2 4.5	933.4 2.0	934.5 2.4	940.8 2.3	940.9 2.1	941.0 2.3
Yeast-diau	929.1 6.7	919.0 4.0	932.8 1.9	940.3 2.1	940.4 1.4	940.4 1.4
Yeast-dtt	955.6 2.4	948.3 2.8	950.1 1.9	958.3 2.0	958.4 1.4	958.4 2.0
Yeast-elu	956.1 1.2	895.0 7.8	948.9 1.3	958.9 1.2	959.0 0.8	959.0 1.0
Yeast-heat	937.4 1.8	920.3 6.2	933.4 1.7	940.2 1.3	940.3 1.9	940.4 1.2
Yeast-spo	906.7 3.6	903.2 3.8	910.5 2.2	915.6 3.9	915.6 3.7	915.8 3.0
Yeast-spo5	907.1 3.9	904.3 4.2	905.4 2.4	908.6 3.1	908.9 3.9	908.8 3.4