Query: 9937920175

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Select the k-NN search approach:
Exact Search    
Perms    
Perms,re-rank(SimplexNormMean)     Perms,re-rank(SimplexNormZenith)     Perms,re-rank(SimplexMean)     Perms,re-rank(SimplexZenith)     Perms,re-rank(SimplexLwb)     Perms,re-rank(SimplexUpb)    
Perms,re-rank(PivotedEmbeddingMean)     Perms,re-rank(PivotedEmbeddingLwb)     Perms,re-rank(PivotedEmbeddingUpb)    

Select dataset size in Millions:
1  2  3  4  5  6  7  8  9  10  20  30  40  50  60  70  80  90  96 


Query: 9937920175

#1   d:0.000
#2   d:0.626
#3   d:0.628
#4   d:0.639
#5   d:0.649

#6   d:0.659
#7   d:0.665
#8   d:0.667
#9   d:0.670
#10   d:0.670

#11   d:0.672
#12   d:0.673
#13   d:0.681
#14   d:0.681
#15   d:0.681

#16   d:0.682
#17   d:0.683
#18   d:0.683
#19   d:0.684
#20   d:0.684

#21   d:0.685
#22   d:0.685
#23   d:0.685
#24   d:0.686
#25   d:0.691

#26   d:0.691
#27   d:0.697
#28   d:0.698
#29   d:0.700
#30   d:0.701

#31   d:0.702
#32   d:0.703
#33   d:0.705
#34   d:0.705
#35   d:0.706

#36   d:0.706
#37   d:0.709
#38   d:0.709
#39   d:0.709
#40   d:0.709

#41   d:0.710
#42   d:0.711
#43   d:0.711
#44   d:0.711
#45   d:0.712

#46   d:0.712
#47   d:0.713
#48   d:0.713
#49   d:0.714
#50   d:0.714

#51   d:0.715
#52   d:0.716
#53   d:0.716
#54   d:0.717
#55   d:0.717

#56   d:0.718
#57   d:0.718
#58   d:0.718
#59   d:0.719
#60   d:0.719

#61   d:0.719
#62   d:0.720
#63   d:0.720
#64   d:0.720
#65   d:0.721

#66   d:0.721
#67   d:0.721
#68   d:0.722
#69   d:0.723
#70   d:0.723

#71   d:0.724
#72   d:0.724
#73   d:0.726
#74   d:0.726
#75   d:0.726

#76   d:0.726
#77   d:0.726
#78   d:0.726
#79   d:0.727
#80   d:0.728

#81   d:0.728
#82   d:0.728
#83   d:0.729
#84   d:0.730
#85   d:0.730

#86   d:0.731
#87   d:0.731
#88   d:0.731
#89   d:0.732
#90   d:0.732

#91   d:0.732
#92   d:0.733
#93   d:0.733
#94   d:0.733
#95   d:0.734

#96   d:0.734
#97   d:0.734
#98   d:0.734
#99   d:0.736
#100   d:0.736

#101   d:0.736
#102   d:0.736
#103   d:0.737
#104   d:0.737
#105   d:0.737

#106   d:0.738
#107   d:0.738
#108   d:0.738
#109   d:0.739
#110   d:0.739

#111   d:0.739
#112   d:0.739
#113   d:0.739
#114   d:0.740
#115   d:0.740

#116   d:0.740
#117   d:0.740
#118   d:0.740
#119   d:0.741
#120   d:0.741

#121   d:0.741
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#125   d:0.742

#126   d:0.742
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#128   d:0.742
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#130   d:0.743

#131   d:0.743
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#134   d:0.743
#135   d:0.743

#136   d:0.743
#137   d:0.743
#138   d:0.743
#139   d:0.743
#140   d:0.743

#141   d:0.743
#142   d:0.745
#143   d:0.745
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#145   d:0.745

#146   d:0.746
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#149   d:0.746
#150   d:0.746

#151   d:0.747
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#153   d:0.747
#154   d:0.747
#155   d:0.748

#156   d:0.748
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#159   d:0.748
#160   d:0.748

#161   d:0.748
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#163   d:0.749
#164   d:0.749
#165   d:0.749

#166   d:0.749
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#171   d:0.750
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#176   d:0.751
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#206   d:0.756
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#246   d:0.760
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#250   d:0.761

#251   d:0.761
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#255   d:0.761

#256   d:0.761
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#258   d:0.762
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#261   d:0.762
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#264   d:0.762
#265   d:0.762

#266   d:0.762
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#271   d:0.763
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#275   d:0.763

#276   d:0.763
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#280   d:0.763

#281   d:0.763
#282   d:0.763
#283   d:0.764
#284   d:0.764
#285   d:0.764

#286   d:0.764
#287   d:0.764
#288   d:0.764
#289   d:0.764
#290   d:0.765

#291   d:0.765
#292   d:0.765
#293   d:0.765
#294   d:0.765
#295   d:0.765

#296   d:0.765
#297   d:0.765
#298   d:0.765
#299   d:0.766
#300   d:0.766

#301   d:0.766
#302   d:0.766
#303   d:0.766
#304   d:0.766
#305   d:0.766

#306   d:0.766
#307   d:0.766
#308   d:0.766
#309   d:0.766
#310   d:0.767

#311   d:0.767
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#315   d:0.767

#316   d:0.767
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#321   d:0.767
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#324   d:0.768
#325   d:0.768

#326   d:0.768
#327   d:0.768
#328   d:0.768
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#330   d:0.768

#331   d:0.768
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#336   d:0.768
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#341   d:0.769
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#345   d:0.769

#346   d:0.769
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#349   d:0.769
#350   d:0.770

#351   d:0.770
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#356   d:0.770
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#361   d:0.770
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#366   d:0.770
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#371   d:0.771
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#376   d:0.771
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#379   d:0.771
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#381   d:0.771
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#386   d:0.772
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#391   d:0.772
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#396   d:0.772
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#399   d:0.773
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#401   d:0.773
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#403   d:0.773
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#406   d:0.773
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#411   d:0.774
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#416   d:0.774
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#773   d:0.795
#774   d:0.795
#775   d:0.795

#776   d:0.795
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#778   d:0.795
#779   d:0.795
#780   d:0.795

#781   d:0.795
#782   d:0.795
#783   d:0.795
#784   d:0.795
#785   d:0.795

#786   d:0.795
#787   d:0.796
#788   d:0.796
#789   d:0.796
#790   d:0.796

#791   d:0.796
#792   d:0.796
#793   d:0.796
#794   d:0.796
#795   d:0.796

#796   d:0.796
#797   d:0.796
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#799   d:0.796
#800   d:0.796

#801   d:0.796
#802   d:0.796
#803   d:0.796
#804   d:0.796
#805   d:0.796

#806   d:0.796
#807   d:0.796
#808   d:0.796
#809   d:0.796
#810   d:0.796

#811   d:0.796
#812   d:0.797
#813   d:0.797
#814   d:0.797
#815   d:0.797

#816   d:0.797
#817   d:0.797
#818   d:0.797
#819   d:0.797
#820   d:0.797

#821   d:0.797
#822   d:0.797
#823   d:0.797
#824   d:0.797
#825   d:0.797

#826   d:0.797
#827   d:0.797
#828   d:0.797
#829   d:0.797
#830   d:0.797

#831   d:0.797
#832   d:0.797
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#834   d:0.797
#835   d:0.797

#836   d:0.797
#837   d:0.797
#838   d:0.797
#839   d:0.797
#840   d:0.797

#841   d:0.798
#842   d:0.798
#843   d:0.798
#844   d:0.798
#845   d:0.798

#846   d:0.798
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#851   d:0.798
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#855   d:0.798

#856   d:0.798
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#860   d:0.798

#861   d:0.798
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#865   d:0.798

#866   d:0.798
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#868   d:0.799
#869   d:0.799
#870   d:0.799

#871   d:0.799
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#875   d:0.799

#876   d:0.799
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#880   d:0.799

#881   d:0.799
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#885   d:0.799

#886   d:0.799
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#890   d:0.799

#891   d:0.799
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#895   d:0.799

#896   d:0.799
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#901   d:0.800
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#904   d:0.800
#905   d:0.800

#906   d:0.800
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#909   d:0.800
#910   d:0.800

#911   d:0.800
#912   d:0.800
#913   d:0.800
#914   d:0.800
#915   d:0.800

#916   d:0.800
#917   d:0.800
#918   d:0.800
#919   d:0.800
#920   d:0.800

#921   d:0.800
#922   d:0.800
#923   d:0.800
#924   d:0.800
#925   d:0.800

#926   d:0.801
#927   d:0.801
#928   d:0.801
#929   d:0.801
#930   d:0.801

#931   d:0.801
#932   d:0.801
#933   d:0.801
#934   d:0.801
#935   d:0.801

#936   d:0.801
#937   d:0.801
#938   d:0.801
#939   d:0.801
#940   d:0.801

#941   d:0.801
#942   d:0.801
#943   d:0.801
#944   d:0.801
#945   d:0.801

#946   d:0.801
#947   d:0.801
#948   d:0.801
#949   d:0.801
#950   d:0.801

#951   d:0.801
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#954   d:0.802
#955   d:0.802

#956   d:0.802
#957   d:0.802
#958   d:0.802
#959   d:0.802
#960   d:0.802

#961   d:0.802
#962   d:0.802
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#964   d:0.802
#965   d:0.802

#966   d:0.802
#967   d:0.802
#968   d:0.802
#969   d:0.802
#970   d:0.802

#971   d:0.802
#972   d:0.802
#973   d:0.802
#974   d:0.802
#975   d:0.802

#976   d:0.802
#977   d:0.802
#978   d:0.802
#979   d:0.802
#980   d:0.802

#981   d:0.802
#982   d:0.803
#983   d:0.803
#984   d:0.803
#985   d:0.803

#986   d:0.803
#987   d:0.803
#988   d:0.803
#989   d:0.803
#990   d:0.803

#991   d:0.803
#992   d:0.803
#993   d:0.803
#994   d:0.803
#995   d:0.803

#996   d:0.803
#997   d:0.803
#998   d:0.803
#999   d:0.803
#1000   d:0.803
Dataset: YFCC100M-HNfc6
ISTI-CNR | Artificial Intelligence for Multimedia Information Retrieval Group |