Query: 9632158356

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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:
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Query: 9632158356

#1   d:0.000
#2   d:0.675
#3   d:0.677
#4   d:0.684
#5   d:0.685

#6   d:0.685
#7   d:0.688
#8   d:0.696
#9   d:0.696
#10   d:0.702

#11   d:0.703
#12   d:0.704
#13   d:0.706
#14   d:0.706
#15   d:0.707

#16   d:0.707
#17   d:0.708
#18   d:0.708
#19   d:0.708
#20   d:0.708

#21   d:0.708
#22   d:0.709
#23   d:0.710
#24   d:0.710
#25   d:0.710

#26   d:0.710
#27   d:0.710
#28   d:0.711
#29   d:0.711
#30   d:0.711

#31   d:0.712
#32   d:0.712
#33   d:0.712
#34   d:0.713
#35   d:0.713

#36   d:0.714
#37   d:0.715
#38   d:0.715
#39   d:0.715
#40   d:0.715

#41   d:0.716
#42   d:0.716
#43   d:0.716
#44   d:0.717
#45   d:0.717

#46   d:0.717
#47   d:0.718
#48   d:0.718
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#51   d:0.718
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#53   d:0.718
#54   d:0.718
#55   d:0.719

#56   d:0.719
#57   d:0.719
#58   d:0.720
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#60   d:0.720

#61   d:0.720
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#63   d:0.720
#64   d:0.720
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#66   d:0.720
#67   d:0.721
#68   d:0.722
#69   d:0.722
#70   d:0.723

#71   d:0.723
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#73   d:0.723
#74   d:0.723
#75   d:0.723

#76   d:0.723
#77   d:0.723
#78   d:0.724
#79   d:0.724
#80   d:0.724

#81   d:0.724
#82   d:0.725
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#86   d:0.725
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#91   d:0.726
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#96   d:0.727
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#100   d:0.728

#101   d:0.728
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#106   d:0.729
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#108   d:0.730
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#111   d:0.730
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#114   d:0.730
#115   d:0.730

#116   d:0.730
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#118   d:0.730
#119   d:0.731
#120   d:0.731

#121   d:0.731
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#125   d:0.731

#126   d:0.731
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#130   d:0.731

#131   d:0.731
#132   d:0.732
#133   d:0.732
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#135   d:0.732

#136   d:0.732
#137   d:0.732
#138   d:0.733
#139   d:0.733
#140   d:0.733

#141   d:0.733
#142   d:0.733
#143   d:0.733
#144   d:0.734
#145   d:0.734

#146   d:0.734
#147   d:0.734
#148   d:0.734
#149   d:0.734
#150   d:0.734

#151   d:0.734
#152   d:0.734
#153   d:0.735
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#156   d:0.735
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#160   d:0.735

#161   d:0.735
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#163   d:0.735
#164   d:0.736
#165   d:0.736

#166   d:0.736
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#170   d:0.736

#171   d:0.736
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#176   d:0.737
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#186   d:0.737
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#190   d:0.738

#191   d:0.738
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#196   d:0.738
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#201   d:0.738
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#206   d:0.738
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#211   d:0.738
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#215   d:0.738

#216   d:0.738
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#220   d:0.739

#221   d:0.739
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#226   d:0.739
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#230   d:0.739

#231   d:0.739
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#234   d:0.739
#235   d:0.739

#236   d:0.739
#237   d:0.739
#238   d:0.740
#239   d:0.740
#240   d:0.740

#241   d:0.740
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#245   d:0.740

#246   d:0.740
#247   d:0.740
#248   d:0.740
#249   d:0.740
#250   d:0.740

#251   d:0.741
#252   d:0.741
#253   d:0.741
#254   d:0.741
#255   d:0.741

#256   d:0.741
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#259   d:0.741
#260   d:0.741

#261   d:0.741
#262   d:0.741
#263   d:0.741
#264   d:0.741
#265   d:0.741

#266   d:0.741
#267   d:0.741
#268   d:0.741
#269   d:0.741
#270   d:0.741

#271   d:0.741
#272   d:0.741
#273   d:0.741
#274   d:0.741
#275   d:0.742

#276   d:0.742
#277   d:0.742
#278   d:0.742
#279   d:0.742
#280   d:0.742

#281   d:0.742
#282   d:0.742
#283   d:0.742
#284   d:0.742
#285   d:0.742

#286   d:0.742
#287   d:0.742
#288   d:0.742
#289   d:0.742
#290   d:0.742

#291   d:0.742
#292   d:0.742
#293   d:0.742
#294   d:0.742
#295   d:0.742

#296   d:0.742
#297   d:0.742
#298   d:0.742
#299   d:0.743
#300   d:0.743

#301   d:0.743
#302   d:0.743
#303   d:0.743
#304   d:0.743
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#306   d:0.743
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#311   d:0.743
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#315   d:0.743

#316   d:0.743
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#318   d:0.743
#319   d:0.743
#320   d:0.743

#321   d:0.743
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#331   d:0.744
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#336   d:0.744
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#341   d:0.744
#342   d:0.744
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#346   d:0.745
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#351   d:0.745
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#353   d:0.745
#354   d:0.745
#355   d:0.745

#356   d:0.745
#357   d:0.745
#358   d:0.746
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#360   d:0.746

#361   d:0.746
#362   d:0.746
#363   d:0.746
#364   d:0.746
#365   d:0.746

#366   d:0.746
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#369   d:0.746
#370   d:0.746

#371   d:0.746
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#373   d:0.746
#374   d:0.746
#375   d:0.746

#376   d:0.746
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#381   d:0.746
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#385   d:0.747

#386   d:0.747
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#388   d:0.747
#389   d:0.747
#390   d:0.747

#391   d:0.747
#392   d:0.747
#393   d:0.747
#394   d:0.747
#395   d:0.747

#396   d:0.747
#397   d:0.747
#398   d:0.747
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#401   d:0.747
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#406   d:0.747
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#411   d:0.747
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#416   d:0.748
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#764   d:0.757
#765   d:0.757

#766   d:0.757
#767   d:0.757
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#769   d:0.757
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#806   d:0.758
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#815   d:0.758

#816   d:0.758
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#821   d:0.758
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#935   d:0.760

#936   d:0.760
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#941   d:0.760
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#946   d:0.760
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#959   d:0.760
#960   d:0.760

#961   d:0.760
#962   d:0.760
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#966   d:0.760
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#971   d:0.761
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#975   d:0.761

#976   d:0.761
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#981   d:0.761
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#985   d:0.761

#986   d:0.761
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#991   d:0.761
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#995   d:0.761

#996   d:0.761
#997   d:0.761
#998   d:0.761
#999   d:0.761
#1000   d:0.761
Dataset: YFCC100M-HNfc6
ISTI-CNR | Artificial Intelligence for Multimedia Information Retrieval Group |