Query: 10652636413

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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: 10652636413

#1   d:0.000
#2   d:0.527
#3   d:0.553
#4   d:0.610
#5   d:0.635

#6   d:0.641
#7   d:0.647
#8   d:0.648
#9   d:0.648
#10   d:0.649

#11   d:0.655
#12   d:0.656
#13   d:0.659
#14   d:0.660
#15   d:0.662

#16   d:0.663
#17   d:0.663
#18   d:0.667
#19   d:0.668
#20   d:0.670

#21   d:0.671
#22   d:0.671
#23   d:0.672
#24   d:0.674
#25   d:0.675

#26   d:0.676
#27   d:0.677
#28   d:0.677
#29   d:0.678
#30   d:0.678

#31   d:0.680
#32   d:0.680
#33   d:0.680
#34   d:0.681
#35   d:0.682

#36   d:0.683
#37   d:0.684
#38   d:0.685
#39   d:0.685
#40   d:0.685

#41   d:0.685
#42   d:0.686
#43   d:0.686
#44   d:0.686
#45   d:0.688

#46   d:0.688
#47   d:0.688
#48   d:0.690
#49   d:0.690
#50   d:0.690

#51   d:0.690
#52   d:0.691
#53   d:0.691
#54   d:0.691
#55   d:0.692

#56   d:0.692
#57   d:0.693
#58   d:0.693
#59   d:0.694
#60   d:0.694

#61   d:0.695
#62   d:0.695
#63   d:0.695
#64   d:0.696
#65   d:0.697

#66   d:0.697
#67   d:0.697
#68   d:0.697
#69   d:0.698
#70   d:0.698

#71   d:0.698
#72   d:0.698
#73   d:0.699
#74   d:0.699
#75   d:0.699

#76   d:0.700
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#78   d:0.700
#79   d:0.700
#80   d:0.701

#81   d:0.701
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#84   d:0.701
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#86   d:0.702
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#90   d:0.703

#91   d:0.704
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#93   d:0.704
#94   d:0.704
#95   d:0.704

#96   d:0.704
#97   d:0.704
#98   d:0.705
#99   d:0.705
#100   d:0.705

#101   d:0.706
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#103   d:0.706
#104   d:0.706
#105   d:0.706

#106   d:0.706
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#110   d:0.707

#111   d:0.708
#112   d:0.708
#113   d:0.708
#114   d:0.709
#115   d:0.709

#116   d:0.709
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#118   d:0.709
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#120   d:0.710

#121   d:0.710
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#126   d:0.711
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#131   d:0.711
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#136   d:0.712
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#139   d:0.712
#140   d:0.712

#141   d:0.712
#142   d:0.713
#143   d:0.713
#144   d:0.713
#145   d:0.713

#146   d:0.713
#147   d:0.714
#148   d:0.714
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#150   d:0.714

#151   d:0.714
#152   d:0.714
#153   d:0.715
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#155   d:0.715

#156   d:0.715
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#160   d:0.715

#161   d:0.716
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#166   d:0.716
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#171   d:0.718
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#176   d:0.718
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#181   d:0.719
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#184   d:0.719
#185   d:0.719

#186   d:0.719
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#189   d:0.719
#190   d:0.720

#191   d:0.720
#192   d:0.720
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#195   d:0.720

#196   d:0.720
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#199   d:0.721
#200   d:0.721

#201   d:0.721
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#204   d:0.721
#205   d:0.722

#206   d:0.722
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#216   d:0.723
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#220   d:0.723

#221   d:0.723
#222   d:0.723
#223   d:0.724
#224   d:0.724
#225   d:0.724

#226   d:0.724
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#229   d:0.725
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#231   d:0.725
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#236   d:0.725
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#245   d:0.726

#246   d:0.726
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#249   d:0.726
#250   d:0.727

#251   d:0.727
#252   d:0.727
#253   d:0.727
#254   d:0.727
#255   d:0.727

#256   d:0.727
#257   d:0.727
#258   d:0.728
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#260   d:0.728

#261   d:0.728
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#265   d:0.728

#266   d:0.728
#267   d:0.728
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#270   d:0.729

#271   d:0.729
#272   d:0.729
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#274   d:0.729
#275   d:0.729

#276   d:0.729
#277   d:0.730
#278   d:0.730
#279   d:0.730
#280   d:0.730

#281   d:0.730
#282   d:0.730
#283   d:0.730
#284   d:0.730
#285   d:0.730

#286   d:0.730
#287   d:0.730
#288   d:0.730
#289   d:0.731
#290   d:0.731

#291   d:0.731
#292   d:0.731
#293   d:0.731
#294   d:0.731
#295   d:0.731

#296   d:0.731
#297   d:0.731
#298   d:0.732
#299   d:0.732
#300   d:0.732

#301   d:0.732
#302   d:0.732
#303   d:0.732
#304   d:0.733
#305   d:0.733

#306   d:0.733
#307   d:0.733
#308   d:0.733
#309   d:0.733
#310   d:0.733

#311   d:0.733
#312   d:0.733
#313   d:0.733
#314   d:0.734
#315   d:0.734

#316   d:0.734
#317   d:0.734
#318   d:0.734
#319   d:0.734
#320   d:0.734

#321   d:0.734
#322   d:0.734
#323   d:0.734
#324   d:0.734
#325   d:0.734

#326   d:0.734
#327   d:0.734
#328   d:0.735
#329   d:0.735
#330   d:0.735

#331   d:0.735
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#336   d:0.735
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#341   d:0.736
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#345   d:0.736

#346   d:0.736
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#349   d:0.736
#350   d:0.736

#351   d:0.736
#352   d:0.736
#353   d:0.736
#354   d:0.736
#355   d:0.736

#356   d:0.736
#357   d:0.736
#358   d:0.737
#359   d:0.737
#360   d:0.737

#361   d:0.737
#362   d:0.737
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#365   d:0.737

#366   d:0.737
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#370   d:0.737

#371   d:0.737
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#373   d:0.737
#374   d:0.738
#375   d:0.738

#376   d:0.738
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#379   d:0.738
#380   d:0.738

#381   d:0.738
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#383   d:0.738
#384   d:0.738
#385   d:0.738

#386   d:0.738
#387   d:0.738
#388   d:0.738
#389   d:0.738
#390   d:0.738

#391   d:0.739
#392   d:0.739
#393   d:0.739
#394   d:0.739
#395   d:0.739

#396   d:0.739
#397   d:0.739
#398   d:0.739
#399   d:0.739
#400   d:0.739

#401   d:0.739
#402   d:0.739
#403   d:0.739
#404   d:0.740
#405   d:0.740

#406   d:0.740
#407   d:0.740
#408   d:0.740
#409   d:0.740
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#411   d:0.740
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#416   d:0.740
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#421   d:0.740
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#426   d:0.741
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#431   d:0.741
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#436   d:0.741
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#767   d:0.757
#768   d:0.757
#769   d:0.757
#770   d:0.757

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#821   d:0.759
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#826   d:0.759
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#936   d:0.762
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#938   d:0.763
#939   d:0.763
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#941   d:0.763
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#946   d:0.763
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#960   d:0.763

#961   d:0.763
#962   d:0.763
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#964   d:0.763
#965   d:0.763

#966   d:0.763
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#968   d:0.763
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#971   d:0.764
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#976   d:0.764
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#984   d:0.764
#985   d:0.764

#986   d:0.764
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#991   d:0.764
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#995   d:0.764

#996   d:0.764
#997   d:0.764
#998   d:0.764
#999   d:0.764
#1000   d:0.764
Dataset: YFCC100M-HNfc6
ISTI-CNR | Artificial Intelligence for Multimedia Information Retrieval Group |