Query: 3576993469

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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: 3576993469

#1   d:0.000
#2   d:0.579
#3   d:0.580
#4   d:0.605
#5   d:0.609

#6   d:0.621
#7   d:0.623
#8   d:0.623
#9   d:0.623
#10   d:0.624

#11   d:0.626
#12   d:0.627
#13   d:0.635
#14   d:0.635
#15   d:0.636

#16   d:0.636
#17   d:0.637
#18   d:0.637
#19   d:0.641
#20   d:0.646

#21   d:0.646
#22   d:0.649
#23   d:0.649
#24   d:0.650
#25   d:0.650

#26   d:0.650
#27   d:0.654
#28   d:0.654
#29   d:0.654
#30   d:0.654

#31   d:0.655
#32   d:0.655
#33   d:0.658
#34   d:0.658
#35   d:0.662

#36   d:0.663
#37   d:0.663
#38   d:0.664
#39   d:0.665
#40   d:0.665

#41   d:0.665
#42   d:0.666
#43   d:0.667
#44   d:0.667
#45   d:0.668

#46   d:0.668
#47   d:0.668
#48   d:0.668
#49   d:0.669
#50   d:0.669

#51   d:0.669
#52   d:0.670
#53   d:0.670
#54   d:0.671
#55   d:0.672

#56   d:0.672
#57   d:0.672
#58   d:0.672
#59   d:0.673
#60   d:0.673

#61   d:0.674
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#63   d:0.674
#64   d:0.674
#65   d:0.675

#66   d:0.675
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#68   d:0.676
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#71   d:0.676
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#76   d:0.677
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#81   d:0.679
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#86   d:0.680
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#91   d:0.681
#92   d:0.681
#93   d:0.681
#94   d:0.681
#95   d:0.682

#96   d:0.682
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#98   d:0.683
#99   d:0.683
#100   d:0.683

#101   d:0.684
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#105   d:0.685

#106   d:0.685
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#110   d:0.686

#111   d:0.686
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#114   d:0.687
#115   d:0.687

#116   d:0.687
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#118   d:0.689
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#120   d:0.689

#121   d:0.689
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#123   d:0.690
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#126   d:0.690
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#131   d:0.692
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#133   d:0.693
#134   d:0.693
#135   d:0.694

#136   d:0.694
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#138   d:0.695
#139   d:0.695
#140   d:0.696

#141   d:0.696
#142   d:0.696
#143   d:0.696
#144   d:0.697
#145   d:0.697

#146   d:0.697
#147   d:0.698
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#150   d:0.698

#151   d:0.698
#152   d:0.699
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#155   d:0.699

#156   d:0.699
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#160   d:0.699

#161   d:0.700
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#165   d:0.701

#166   d:0.701
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#170   d:0.702

#171   d:0.702
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#175   d:0.703

#176   d:0.704
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#180   d:0.705

#181   d:0.705
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#186   d:0.706
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#191   d:0.707
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#196   d:0.708
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#201   d:0.709
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#206   d:0.709
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#216   d:0.710
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#221   d:0.711
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#226   d:0.712
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#231   d:0.713
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#236   d:0.713
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#241   d:0.714
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#245   d:0.715

#246   d:0.715
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#249   d:0.716
#250   d:0.716

#251   d:0.716
#252   d:0.716
#253   d:0.717
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#255   d:0.717

#256   d:0.717
#257   d:0.717
#258   d:0.717
#259   d:0.718
#260   d:0.718

#261   d:0.718
#262   d:0.718
#263   d:0.718
#264   d:0.719
#265   d:0.719

#266   d:0.719
#267   d:0.719
#268   d:0.719
#269   d:0.719
#270   d:0.719

#271   d:0.719
#272   d:0.719
#273   d:0.719
#274   d:0.719
#275   d:0.719

#276   d:0.719
#277   d:0.719
#278   d:0.720
#279   d:0.720
#280   d:0.720

#281   d:0.720
#282   d:0.720
#283   d:0.720
#284   d:0.721
#285   d:0.721

#286   d:0.721
#287   d:0.721
#288   d:0.721
#289   d:0.721
#290   d:0.721

#291   d:0.722
#292   d:0.722
#293   d:0.722
#294   d:0.722
#295   d:0.722

#296   d:0.722
#297   d:0.723
#298   d:0.723
#299   d:0.723
#300   d:0.723

#301   d:0.723
#302   d:0.723
#303   d:0.723
#304   d:0.723
#305   d:0.723

#306   d:0.723
#307   d:0.723
#308   d:0.723
#309   d:0.723
#310   d:0.724

#311   d:0.724
#312   d:0.724
#313   d:0.724
#314   d:0.724
#315   d:0.724

#316   d:0.724
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#318   d:0.724
#319   d:0.725
#320   d:0.725

#321   d:0.725
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#326   d:0.725
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#330   d:0.725

#331   d:0.726
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#336   d:0.726
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#341   d:0.727
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#346   d:0.727
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#351   d:0.727
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#354   d:0.728
#355   d:0.728

#356   d:0.728
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#361   d:0.729
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#365   d:0.729

#366   d:0.729
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#370   d:0.729

#371   d:0.730
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#376   d:0.730
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#381   d:0.730
#382   d:0.730
#383   d:0.731
#384   d:0.731
#385   d:0.731

#386   d:0.731
#387   d:0.731
#388   d:0.731
#389   d:0.731
#390   d:0.731

#391   d:0.731
#392   d:0.731
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#394   d:0.731
#395   d:0.731

#396   d:0.731
#397   d:0.731
#398   d:0.731
#399   d:0.732
#400   d:0.732

#401   d:0.732
#402   d:0.732
#403   d:0.732
#404   d:0.733
#405   d:0.733

#406   d:0.733
#407   d:0.733
#408   d:0.733
#409   d:0.733
#410   d:0.733

#411   d:0.733
#412   d:0.733
#413   d:0.733
#414   d:0.733
#415   d:0.733

#416   d:0.733
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#418   d:0.734
#419   d:0.734
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#421   d:0.734
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#423   d:0.734
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#426   d:0.734
#427   d:0.734
#428   d:0.734
#429   d:0.734
#430   d:0.734

#431   d:0.735
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#436   d:0.735
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#441   d:0.736
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#446   d:0.736
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#451   d:0.737
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#456   d:0.737
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#461   d:0.738
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#466   d:0.738
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#471   d:0.739
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#476   d:0.739
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#770   d:0.761

#771   d:0.761
#772   d:0.761
#773   d:0.761
#774   d:0.761
#775   d:0.761

#776   d:0.761
#777   d:0.761
#778   d:0.761
#779   d:0.761
#780   d:0.761

#781   d:0.761
#782   d:0.761
#783   d:0.762
#784   d:0.762
#785   d:0.762

#786   d:0.762
#787   d:0.762
#788   d:0.762
#789   d:0.762
#790   d:0.762

#791   d:0.762
#792   d:0.762
#793   d:0.762
#794   d:0.762
#795   d:0.762

#796   d:0.762
#797   d:0.762
#798   d:0.762
#799   d:0.762
#800   d:0.762

#801   d:0.762
#802   d:0.762
#803   d:0.762
#804   d:0.762
#805   d:0.762

#806   d:0.762
#807   d:0.762
#808   d:0.762
#809   d:0.762
#810   d:0.762

#811   d:0.763
#812   d:0.763
#813   d:0.763
#814   d:0.763
#815   d:0.763

#816   d:0.763
#817   d:0.763
#818   d:0.763
#819   d:0.763
#820   d:0.763

#821   d:0.763
#822   d:0.763
#823   d:0.763
#824   d:0.763
#825   d:0.763

#826   d:0.763
#827   d:0.764
#828   d:0.764
#829   d:0.764
#830   d:0.764

#831   d:0.764
#832   d:0.764
#833   d:0.764
#834   d:0.764
#835   d:0.764

#836   d:0.764
#837   d:0.764
#838   d:0.764
#839   d:0.764
#840   d:0.764

#841   d:0.764
#842   d:0.764
#843   d:0.764
#844   d:0.764
#845   d:0.765

#846   d:0.765
#847   d:0.765
#848   d:0.765
#849   d:0.765
#850   d:0.765

#851   d:0.765
#852   d:0.765
#853   d:0.765
#854   d:0.765
#855   d:0.765

#856   d:0.765
#857   d:0.765
#858   d:0.765
#859   d:0.765
#860   d:0.765

#861   d:0.765
#862   d:0.765
#863   d:0.765
#864   d:0.765
#865   d:0.765

#866   d:0.765
#867   d:0.765
#868   d:0.765
#869   d:0.766
#870   d:0.766

#871   d:0.766
#872   d:0.766
#873   d:0.766
#874   d:0.766
#875   d:0.766

#876   d:0.766
#877   d:0.766
#878   d:0.766
#879   d:0.766
#880   d:0.766

#881   d:0.766
#882   d:0.766
#883   d:0.766
#884   d:0.766
#885   d:0.766

#886   d:0.766
#887   d:0.766
#888   d:0.766
#889   d:0.766
#890   d:0.766

#891   d:0.767
#892   d:0.767
#893   d:0.767
#894   d:0.767
#895   d:0.767

#896   d:0.767
#897   d:0.767
#898   d:0.767
#899   d:0.767
#900   d:0.767

#901   d:0.767
#902   d:0.767
#903   d:0.767
#904   d:0.767
#905   d:0.767

#906   d:0.767
#907   d:0.767
#908   d:0.767
#909   d:0.767
#910   d:0.767

#911   d:0.767
#912   d:0.767
#913   d:0.767
#914   d:0.767
#915   d:0.767

#916   d:0.767
#917   d:0.768
#918   d:0.768
#919   d:0.768
#920   d:0.768

#921   d:0.768
#922   d:0.768
#923   d:0.768
#924   d:0.768
#925   d:0.768

#926   d:0.768
#927   d:0.768
#928   d:0.768
#929   d:0.768
#930   d:0.768

#931   d:0.768
#932   d:0.768
#933   d:0.768
#934   d:0.768
#935   d:0.768

#936   d:0.768
#937   d:0.768
#938   d:0.768
#939   d:0.768
#940   d:0.768

#941   d:0.768
#942   d:0.769
#943   d:0.769
#944   d:0.769
#945   d:0.769

#946   d:0.769
#947   d:0.769
#948   d:0.769
#949   d:0.769
#950   d:0.769

#951   d:0.769
#952   d:0.769
#953   d:0.769
#954   d:0.769
#955   d:0.769

#956   d:0.769
#957   d:0.769
#958   d:0.769
#959   d:0.769
#960   d:0.769

#961   d:0.769
#962   d:0.769
#963   d:0.769
#964   d:0.769
#965   d:0.769

#966   d:0.770
#967   d:0.770
#968   d:0.770
#969   d:0.770
#970   d:0.770

#971   d:0.770
#972   d:0.770
#973   d:0.770
#974   d:0.770
#975   d:0.770

#976   d:0.770
#977   d:0.770
#978   d:0.770
#979   d:0.770
#980   d:0.770

#981   d:0.771
#982   d:0.771
#983   d:0.771
#984   d:0.771
#985   d:0.771

#986   d:0.771
#987   d:0.771
#988   d:0.771
#989   d:0.771
#990   d:0.771

#991   d:0.771
#992   d:0.771
#993   d:0.771
#994   d:0.771
#995   d:0.771

#996   d:0.771
#997   d:0.771
#998   d:0.771
#999   d:0.771
#1000   d:0.772
Dataset: YFCC100M-HNfc6
ISTI-CNR | Artificial Intelligence for Multimedia Information Retrieval Group |