Chinese-noodle

method: sparse(DoG), cb=500 sparse(DoG), cb=1000 r-dense(random), cb=500 r-dense(random), cb=1000 sparse(DoG), cb=1500 sparse(DoG), cb=2000 r-dense(random), cb=2000 r-dense(random), cb=3000 sparse(DoG), cb=1000 (censored) r-dense(random), cb=1000 (censored) g-dense(grid), cb=500 g-dense(grid), cb=1000 g-dense(grid), SPK(L=2), cb=500 g-dense(grid), SPK(L=2), cb=1000 g-dense(grid), SPK(L=1), cb=500 g-dense(grid), SPK(L=1), cb=1000 g-dense(grid), SPK(L=2), cb=500 (censored) g-dense(grid), SPK(L=2), cb=1000 (censored) sMIL-SVM c=10, cb=500 sMIL-SVM c=100, cb=500 sMIL-SVM c=1000, cb=500 sMIL-SVM c=10, cb=1000 sMIL-SVM c=100, cb=1000 sMIL-SVM c=1000, cb=1000     word: sunset mountain waterfall beach flower lion apple baby notebook-PC Chinese-noodle airplane guitar leopard motorbike watch     pos./neg.: positive result negative result     display ALL/A/B group images ALL A B    top 1 - 100101 - 200201 - 300301 - 400401 - 500501 - 600601 - 700701 - 800801 - 900901 - 10001001 - 11001101 - 12001201 - 13001301 - 14001401 - 15001501 - 16001601 - 17001701 - 18001801 - 19001901 - 20002001 - 21002101 - 22002201 - 23002301 - 24002401 - 2420         top page

top 1001 - 1100    ( 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 )    prev  next  
topn (recall 15.0): 2420
prec.: 0.9677

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[A] no.1001  0.99986	[A] no.1002  0.99985	[A] no.1003  0.99980	[A] no.1004  0.99979	[A] no.1005  0.99979	[A] no.1006  0.99976	[A] no.1007  0.99976	[A] no.1008  0.99976	[A] no.1009  0.99976	[A] no.1010  0.99975
[A] no.1011  0.99973	[A] no.1012  0.99973	[A] no.1013  0.99970	[A] no.1014  0.99969	[A] no.1015  0.99969	[A] no.1016  0.99967	[A] no.1017  0.99966	[A] no.1018  0.99954	[A] no.1019  0.99954	[A] no.1020  0.99954
[A] no.1021  0.99950	[A] no.1022  0.99950	[A] no.1023  0.99949	[A] no.1024  0.99949	[A] no.1025  0.99948	[A] no.1026  0.99946	[A] no.1027  0.99945	[A] no.1028  0.99943	[A] no.1029  0.99943	[A] no.1030  0.99941
[A] no.1031  0.99939	[A] no.1032  0.99938	[A] no.1033  0.99931	[A] no.1034  0.99926	[A] no.1035  0.99926	[A] no.1036  0.99923	[A] no.1037  0.99917	[A] no.1038  0.99907	[B] no.1039  0.99294	[A] no.1040  0.99160
[B] no.1041  0.98892	[B] no.1042  0.98730	[B] no.1043  0.98728	[A] no.1044  0.98712	[A] no.1045  0.98709	[B] no.1046  0.98321	[B] no.1047  0.98304	[B] no.1048  0.97758	[A] no.1049  0.97697	[A] no.1050  0.97507
[B] no.1051  0.97467	[A] no.1052  0.97107	[B] no.1053  0.97057	[A] no.1054  0.97041	[B] no.1055  0.96992	[A] no.1056  0.96737	[B] no.1057  0.96300	[B] no.1058  0.96154	[A] no.1059  0.96082	[A] no.1060  0.96070
[A] no.1061  0.95955	[B] no.1062  0.95643	[B] no.1063  0.95607	[B] no.1064  0.95539	[B] no.1065  0.95457	[A] no.1066  0.95326	[A] no.1067  0.95211	[B] no.1068  0.95149	[A] no.1069  0.95129	[B] no.1070  0.95029
[A] no.1071  0.95007	[A] no.1072  0.94797	[B] no.1073  0.94672	[B] no.1074  0.94435	[B] no.1075  0.94378	[A] no.1076  0.94262	[B] no.1077  0.94237	[B] no.1078  0.93669	[B] no.1079  0.93596	[B] no.1080  0.93549
[A] no.1081  0.93528	[B] no.1082  0.93455	[B] no.1083  0.93430	[B] no.1084  0.93368	[B] no.1085  0.93346	[B] no.1086  0.93210	[A] no.1087  0.93116	[B] no.1088  0.92980	[A] no.1089  0.92823	[B] no.1090  0.92664
[A] no.1091  0.92661	[A] no.1092  0.92655	[B] no.1093  0.92569	[B] no.1094  0.92180	[A] no.1095  0.92037	[A] no.1096  0.91973	[B] no.1097  0.91511	[A] no.1098  0.91469	[A] no.1099  0.91403	[B] no.1100  0.91144

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© 2007 Yanai Lab., Department of Computer Science, The University of Electro-Communications, Tokyo, Japan