融合标签结构依赖性的标签分布学习
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黄雨婷,徐媛媛,张恒汝,闵帆
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Label distribution learning by exploiting structural label dependency
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Yuting Huang,Yuanyuan Xu,Hengru Zhang,Fan Min
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表8 Diau数据集上的实验结果
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Table 8 Experimental results on the Diau dataset
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| Euclidean↓ | S?rensen↓ | Squard χ2↓ | KL↓ | Intersection↑ | Fidelity↑ |
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SD?LDL | 0.0602±0.0009(5) | 0.0660±0.0009(5) | 0.0160±0.0015(5) | 0.0155±0.0011(5) | 0.9340±0.0009(5) | 0.9959±0.0008(5) | PT?Bayes | 0.4027±0.0183(8) | 0.4177±0.0170(8) | 0.5280±0.0281(8) | 0.8512±0.0772(8) | 0.5823±0.0170(8) | 0.8230±0.0107(8) | PT?SVM | 0.0628±0.0037(6) | 0.0686±0.0041(6) | 0.0169±0.0018(6) | 0.0167±0.0017(6) | 0.9314±0.0041(6) | 0.9957±0.0004(6) | AA?kNN | 0.0567±0.0019(3) | 0.0622±0.0022(3) | 0.0145±0.0011(3) | 0.0145±0.0010(3) | 0.9378±0.0022(3) | 0.9963±0.0003(3) | AA?BP | 0.0802±0.0051(7) | 0.0863±0.0059(7) | 0.0276±0.0013(7) | 0.0291±0.0069(7) | 0.9142±0.0067(7) | 0.9929±0.0031(7) | IIS?LLD | 0.0539±0.0031(2) | 0.0593±0.0032(2) | 0.0144±0.0014(2) | 0.0141±0.0013(2) | 0.9407±0.0003(2) | 0.9964±0.0036(2) | BFGS?LLD | 0.0444±0.0022(1) | 0.0476±0.0023(1) | 0.0089±0.0008(1) | 0.0083±0.0009(1) | 0.9513±0.0027(1) | 0.9978±0.0031(1) | EDL | 0.0597±0.0010(4) | 0.0653±0.0010(4) | 0.0158±0.0005(4) | 0.0155±0.0005(4) | 0.9347±0.0010(4) | 0.9960±0.0002(4) |
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