核化的多视角特权协同随机矢量功能链接网络及其增量学习方法
吴天宇, 王士同

Kernel Multi⁃view Privileged Random vector functional link net⁃work and its incremental learning method
Tianyu Wu, Shitong Wang
表3 KMPRVFL和对比算法在AwA2数据集上的性能
Table 3 Classification performance of KMPRVFL and other algorithms on AwA2 dataset
Datasets?ADatasets?BKMPRVFLKRVFLMED?2CPSVM?2V
AccuracySTDAccuracySTDAccuracySTDAccuracySTD
Average87.41%0.01982.58%0.03179.78%0.03483.59%0.054
1chimpspanda91.01%0.00987.14%0.02786.93%0.02790.92%0.023
2chimpsleopard92.50%0.0186.84%0.01882.80%0.0487.61%0.043
3chimpscat92.18%0.02386.65%0.03482.07%0.04986.52%0.067
4chimpspig89.15%0.0582.09%0.0582.86%0.03383.81%0.056
5chimpshippo89.05%0.01486.84%0.02282.82%0.04384.45%0.063
6chimpsrat89.78%0.02382.36%0.04175.12%0.03581.16%0.082
7chimpsseal91.90%0.01281.46%0.03583.07%0.02687.76%0.016
8pandaleopard92.83%0.01688.84%0.01484.31%0.02690.46%0.012
9pandacat95.05%0.01590.04%0.02688.03%0.0289.53%0.067
10pandapig90.53%0.01483.62%0.02578.83%0.04283.46%0.035
11pandahippo93.89%0.01387.69%0.01887.47%0.00991.13%0.05
12pandarat91.75%0.0285.92%0.04382.25%0.02586.57%0.064
13pandaseal92.62%0.02489.10%0.01786.89%0.03389.63%0.026
14leopardcat91.74%0.01586.94%0.02186.15%0.03390.69%0.045
15leopardpig85.56%0.03782.62%0.02878.53%0.02784.11%0.057
16leopardhippo91.13%0.0183.10%0.02882.54%0.03788.49%0.092
17leopardrat87.58%0.01484.53%0.03380.17%0.0485.21%0.082
18leopardseal90.78%0.01986.47%0.02787.83%0.04588.00%0.091
19catpig84.87%0.03779.27%0.04473.92%0.06176.80%0.055
20cathippo89.57%0.01687.08%0.02985.07%0.03786.29%0.074
21catrat77.01%0.02974.17%0.0462.40%0.02568.46%0.043
22catseal86.52%0.02376.55%0.04482.60%0.03883.68%0.06
23pighippo82.20%0.01977.21%0.05571.42%0.03774.49%0.066
24pigrat73.18%0.02969.21%0.03270.52%0.02574.31%0.08
25pigseal84.59%0.02178.27%0.04571.86%0.03777.08%0.092
26hipporat85.17%0.0282.92%0.01972.94%0.03575.23%0.056
27hipposeal81.41%0.02670.45%0.03467.08%0.0369.48%0.053
28ratseal80.59%0.03677.32%0.04271.96%0.0275.69%0.017