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:0.640

#6   d:0.649
#7   d:0.659
#8   d:0.665
#9   d:0.665
#10   d:0.667

#11   d:0.668
#12   d:0.670
#13   d:0.670
#14   d:0.672
#15   d:0.673

#16   d:0.679
#17   d:0.681
#18   d:0.681
#19   d:0.681
#20   d:0.682

#21   d:0.683
#22   d:0.683
#23   d:0.684
#24   d:0.684
#25   d:0.685

#26   d:0.685
#27   d:0.685
#28   d:0.686
#29   d:0.686
#30   d:0.691

#31   d:0.691
#32   d:0.692
#33   d:0.695
#34   d:0.697
#35   d:0.697

#36   d:0.698
#37   d:0.700
#38   d:0.701
#39   d:0.701
#40   d:0.702

#41   d:0.703
#42   d:0.703
#43   d:0.703
#44   d:0.705
#45   d:0.705

#46   d:0.706
#47   d:0.706
#48   d:0.709
#49   d:0.709
#50   d:0.709

#51   d:0.709
#52   d:0.709
#53   d:0.709
#54   d:0.710
#55   d:0.711

#56   d:0.711
#57   d:0.711
#58   d:0.712
#59   d:0.712
#60   d:0.713

#61   d:0.713
#62   d:0.713
#63   d:0.714
#64   d:0.714
#65   d:0.715

#66   d:0.715
#67   d:0.716
#68   d:0.716
#69   d:0.717
#70   d:0.717

#71   d:0.718
#72   d:0.718
#73   d:0.718
#74   d:0.718
#75   d:0.719

#76   d:0.719
#77   d:0.719
#78   d:0.720
#79   d:0.720
#80   d:0.720

#81   d:0.721
#82   d:0.721
#83   d:0.721
#84   d:0.722
#85   d:0.722

#86   d:0.722
#87   d:0.723
#88   d:0.723
#89   d:0.724
#90   d:0.724

#91   d:0.726
#92   d:0.726
#93   d:0.726
#94   d:0.726
#95   d:0.726

#96   d:0.726
#97   d:0.726
#98   d:0.727
#99   d:0.728
#100   d:0.728

#101   d:0.728
#102   d:0.728
#103   d:0.729
#104   d:0.730
#105   d:0.730

#106   d:0.731
#107   d:0.731
#108   d:0.731
#109   d:0.732
#110   d:0.732

#111   d:0.732
#112   d:0.733
#113   d:0.733
#114   d:0.733
#115   d:0.734

#116   d:0.734
#117   d:0.734
#118   d:0.734
#119   d:0.736
#120   d:0.736

#121   d:0.736
#122   d:0.736
#123   d:0.737
#124   d:0.737
#125   d:0.737

#126   d:0.738
#127   d:0.738
#128   d:0.738
#129   d:0.738
#130   d:0.739

#131   d:0.739
#132   d:0.739
#133   d:0.739
#134   d:0.739
#135   d:0.739

#136   d:0.739
#137   d:0.739
#138   d:0.739
#139   d:0.739
#140   d:0.740

#141   d:0.740
#142   d:0.740
#143   d:0.740
#144   d:0.740
#145   d:0.741

#146   d:0.741
#147   d:0.741
#148   d:0.741
#149   d:0.741
#150   d:0.742

#151   d:0.742
#152   d:0.742
#153   d:0.742
#154   d:0.742
#155   d:0.742

#156   d:0.742
#157   d:0.742
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#159   d:0.743
#160   d:0.743

#161   d:0.743
#162   d:0.743
#163   d:0.743
#164   d:0.743
#165   d:0.743

#166   d:0.743
#167   d:0.743
#168   d:0.743
#169   d:0.743
#170   d:0.743

#171   d:0.743
#172   d:0.745
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#175   d:0.745

#176   d:0.746
#177   d:0.746
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#180   d:0.746

#181   d:0.747
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#184   d:0.747
#185   d:0.747

#186   d:0.748
#187   d:0.748
#188   d:0.748
#189   d:0.748
#190   d:0.748

#191   d:0.748
#192   d:0.748
#193   d:0.748
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#195   d:0.749

#196   d:0.749
#197   d:0.749
#198   d:0.749
#199   d:0.749
#200   d:0.749

#201   d:0.749
#202   d:0.750
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#206   d:0.750
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#226   d:0.752
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#231   d:0.753
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#236   d:0.753
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#239   d:0.754
#240   d:0.754

#241   d:0.754
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#245   d:0.755

#246   d:0.755
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#248   d:0.756
#249   d:0.756
#250   d:0.756

#251   d:0.756
#252   d:0.756
#253   d:0.756
#254   d:0.756
#255   d:0.757

#256   d:0.757
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#259   d:0.757
#260   d:0.757

#261   d:0.758
#262   d:0.758
#263   d:0.758
#264   d:0.758
#265   d:0.758

#266   d:0.758
#267   d:0.758
#268   d:0.758
#269   d:0.758
#270   d:0.758

#271   d:0.758
#272   d:0.758
#273   d:0.758
#274   d:0.758
#275   d:0.758

#276   d:0.758
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#278   d:0.759
#279   d:0.759
#280   d:0.759

#281   d:0.759
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#283   d:0.759
#284   d:0.759
#285   d:0.759

#286   d:0.760
#287   d:0.760
#288   d:0.760
#289   d:0.760
#290   d:0.760

#291   d:0.760
#292   d:0.760
#293   d:0.760
#294   d:0.761
#295   d:0.761

#296   d:0.761
#297   d:0.761
#298   d:0.761
#299   d:0.761
#300   d:0.761

#301   d:0.761
#302   d:0.761
#303   d:0.761
#304   d:0.761
#305   d:0.761

#306   d:0.762
#307   d:0.762
#308   d:0.762
#309   d:0.762
#310   d:0.762

#311   d:0.762
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#314   d:0.762
#315   d:0.762

#316   d:0.762
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#320   d:0.762

#321   d:0.763
#322   d:0.763
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#325   d:0.763

#326   d:0.763
#327   d:0.763
#328   d:0.763
#329   d:0.763
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#331   d:0.763
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#333   d:0.763
#334   d:0.763
#335   d:0.764

#336   d:0.764
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#338   d:0.764
#339   d:0.764
#340   d:0.764

#341   d:0.764
#342   d:0.764
#343   d:0.764
#344   d:0.764
#345   d:0.765

#346   d:0.765
#347   d:0.765
#348   d:0.765
#349   d:0.765
#350   d:0.765

#351   d:0.765
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#354   d:0.765
#355   d:0.766

#356   d:0.766
#357   d:0.766
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#359   d:0.766
#360   d:0.766

#361   d:0.766
#362   d:0.766
#363   d:0.766
#364   d:0.766
#365   d:0.766

#366   d:0.766
#367   d:0.767
#368   d:0.767
#369   d:0.767
#370   d:0.767

#371   d:0.767
#372   d:0.767
#373   d:0.767
#374   d:0.767
#375   d:0.767

#376   d:0.767
#377   d:0.767
#378   d:0.767
#379   d:0.767
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#381   d:0.767
#382   d:0.767
#383   d:0.768
#384   d:0.768
#385   d:0.768

#386   d:0.768
#387   d:0.768
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#389   d:0.768
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#391   d:0.768
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#394   d:0.768
#395   d:0.768

#396   d:0.768
#397   d:0.768
#398   d:0.768
#399   d:0.769
#400   d:0.769

#401   d:0.769
#402   d:0.769
#403   d:0.769
#404   d:0.769
#405   d:0.769

#406   d:0.769
#407   d:0.769
#408   d:0.769
#409   d:0.769
#410   d:0.769

#411   d:0.769
#412   d:0.770
#413   d:0.770
#414   d:0.770
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#416   d:0.770
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#426   d:0.770
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#436   d:0.771
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#772   d:0.788
#773   d:0.788
#774   d:0.788
#775   d:0.788

#776   d:0.788
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#779   d:0.789
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#781   d:0.789
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#785   d:0.789

#786   d:0.789
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#795   d:0.790

#796   d:0.790
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#801   d:0.790
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#805   d:0.790

#806   d:0.790
#807   d:0.790
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#810   d:0.791

#811   d:0.791
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#815   d:0.791

#816   d:0.791
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#818   d:0.791
#819   d:0.791
#820   d:0.791

#821   d:0.791
#822   d:0.791
#823   d:0.791
#824   d:0.791
#825   d:0.791

#826   d:0.791
#827   d:0.791
#828   d:0.791
#829   d:0.791
#830   d:0.791

#831   d:0.792
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#834   d:0.792
#835   d:0.792

#836   d:0.792
#837   d:0.792
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#841   d:0.792
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#846   d:0.792
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#876   d:0.793
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#891   d:0.794
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#901   d:0.794
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#904   d:0.794
#905   d:0.794

#906   d:0.795
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#911   d:0.795
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#914   d:0.795
#915   d:0.795

#916   d:0.795
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#921   d:0.795
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#923   d:0.795
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#925   d:0.795

#926   d:0.795
#927   d:0.795
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#929   d:0.795
#930   d:0.795

#931   d:0.796
#932   d:0.796
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#935   d:0.796

#936   d:0.796
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#938   d:0.796
#939   d:0.796
#940   d:0.796

#941   d:0.796
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#945   d:0.796

#946   d:0.796
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#951   d:0.796
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#955   d:0.796

#956   d:0.796
#957   d:0.796
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#959   d:0.797
#960   d:0.797

#961   d:0.797
#962   d:0.797
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#964   d:0.797
#965   d:0.797

#966   d:0.797
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#971   d:0.797
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#975   d:0.797

#976   d:0.797
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#980   d:0.797

#981   d:0.797
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#985   d:0.797

#986   d:0.797
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#988   d:0.797
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#990   d:0.797

#991   d:0.797
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#994   d:0.798
#995   d:0.798

#996   d:0.798
#997   d:0.798
#998   d:0.798
#999   d:0.798
#1000   d:0.798
Dataset: YFCC100M-HNfc6
ISTI-CNR | Artificial Intelligence for Multimedia Information Retrieval Group |