Query: 4763015118

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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: 4763015118

#1   d:0.000
#2   d:0.606
#3   d:0.611
#4   d:0.629
#5   d:0.660

#6   d:0.666
#7   d:0.667
#8   d:0.668
#9   d:0.676
#10   d:0.677

#11   d:0.680
#12   d:0.680
#13   d:0.680
#14   d:0.681
#15   d:0.682

#16   d:0.684
#17   d:0.688
#18   d:0.689
#19   d:0.689
#20   d:0.691

#21   d:0.693
#22   d:0.695
#23   d:0.696
#24   d:0.699
#25   d:0.700

#26   d:0.702
#27   d:0.703
#28   d:0.703
#29   d:0.703
#30   d:0.704

#31   d:0.704
#32   d:0.705
#33   d:0.705
#34   d:0.705
#35   d:0.707

#36   d:0.708
#37   d:0.709
#38   d:0.709
#39   d:0.709
#40   d:0.710

#41   d:0.711
#42   d:0.712
#43   d:0.712
#44   d:0.712
#45   d:0.716

#46   d:0.717
#47   d:0.717
#48   d:0.717
#49   d:0.717
#50   d:0.717

#51   d:0.717
#52   d:0.717
#53   d:0.717
#54   d:0.718
#55   d:0.720

#56   d:0.721
#57   d:0.723
#58   d:0.723
#59   d:0.724
#60   d:0.724

#61   d:0.724
#62   d:0.725
#63   d:0.725
#64   d:0.725
#65   d:0.726

#66   d:0.726
#67   d:0.727
#68   d:0.727
#69   d:0.728
#70   d:0.728

#71   d:0.729
#72   d:0.729
#73   d:0.729
#74   d:0.730
#75   d:0.730

#76   d:0.730
#77   d:0.730
#78   d:0.731
#79   d:0.731
#80   d:0.732

#81   d:0.732
#82   d:0.732
#83   d:0.732
#84   d:0.732
#85   d:0.733

#86   d:0.733
#87   d:0.733
#88   d:0.733
#89   d:0.734
#90   d:0.734

#91   d:0.734
#92   d:0.734
#93   d:0.735
#94   d:0.735
#95   d:0.735

#96   d:0.736
#97   d:0.736
#98   d:0.736
#99   d:0.736
#100   d:0.737

#101   d:0.737
#102   d:0.737
#103   d:0.737
#104   d:0.737
#105   d:0.738

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

#111   d:0.740
#112   d:0.740
#113   d:0.740
#114   d:0.741
#115   d:0.741

#116   d:0.741
#117   d:0.741
#118   d:0.742
#119   d:0.742
#120   d:0.742

#121   d:0.743
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#124   d:0.743
#125   d:0.743

#126   d:0.743
#127   d:0.743
#128   d:0.744
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#130   d:0.744

#131   d:0.744
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#135   d:0.744

#136   d:0.745
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#138   d:0.745
#139   d:0.745
#140   d:0.746

#141   d:0.746
#142   d:0.746
#143   d:0.746
#144   d:0.746
#145   d:0.746

#146   d:0.746
#147   d:0.747
#148   d:0.747
#149   d:0.747
#150   d:0.747

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

#156   d:0.748
#157   d:0.748
#158   d:0.748
#159   d:0.748
#160   d:0.748

#161   d:0.749
#162   d:0.749
#163   d:0.749
#164   d:0.749
#165   d:0.750

#166   d:0.750
#167   d:0.750
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#170   d:0.751

#171   d:0.751
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#176   d:0.751
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#181   d:0.752
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#191   d:0.752
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#196   d:0.753
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#201   d:0.754
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#206   d:0.754
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#216   d:0.755
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#221   d:0.756
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#231   d:0.757
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#236   d:0.758
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#240   d:0.758

#241   d:0.758
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#245   d:0.758

#246   d:0.758
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#248   d:0.759
#249   d:0.759
#250   d:0.759

#251   d:0.759
#252   d:0.759
#253   d:0.759
#254   d:0.759
#255   d:0.759

#256   d:0.759
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#260   d:0.760

#261   d:0.760
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#265   d:0.760

#266   d:0.760
#267   d:0.761
#268   d:0.761
#269   d:0.761
#270   d:0.761

#271   d:0.761
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#275   d:0.762

#276   d:0.762
#277   d:0.762
#278   d:0.762
#279   d:0.762
#280   d:0.762

#281   d:0.762
#282   d:0.762
#283   d:0.763
#284   d:0.763
#285   d:0.763

#286   d:0.763
#287   d:0.763
#288   d:0.763
#289   d:0.763
#290   d:0.763

#291   d:0.763
#292   d:0.763
#293   d:0.763
#294   d:0.764
#295   d:0.764

#296   d:0.764
#297   d:0.764
#298   d:0.764
#299   d:0.764
#300   d:0.764

#301   d:0.764
#302   d:0.764
#303   d:0.764
#304   d:0.764
#305   d:0.764

#306   d:0.764
#307   d:0.764
#308   d:0.764
#309   d:0.765
#310   d:0.765

#311   d:0.765
#312   d:0.765
#313   d:0.765
#314   d:0.765
#315   d:0.766

#316   d:0.766
#317   d:0.766
#318   d:0.766
#319   d:0.766
#320   d:0.767

#321   d:0.767
#322   d:0.767
#323   d:0.767
#324   d:0.767
#325   d:0.767

#326   d:0.767
#327   d:0.767
#328   d:0.767
#329   d:0.767
#330   d:0.767

#331   d:0.768
#332   d:0.768
#333   d:0.768
#334   d:0.768
#335   d:0.768

#336   d:0.768
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#339   d:0.768
#340   d:0.768

#341   d:0.768
#342   d:0.768
#343   d:0.769
#344   d:0.769
#345   d:0.769

#346   d:0.769
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#348   d:0.769
#349   d:0.769
#350   d:0.769

#351   d:0.769
#352   d:0.769
#353   d:0.769
#354   d:0.769
#355   d:0.769

#356   d:0.769
#357   d:0.769
#358   d:0.769
#359   d:0.770
#360   d:0.770

#361   d:0.770
#362   d:0.770
#363   d:0.770
#364   d:0.770
#365   d:0.770

#366   d:0.770
#367   d:0.770
#368   d:0.770
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#370   d:0.770

#371   d:0.771
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#373   d:0.771
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#375   d:0.771

#376   d:0.771
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#379   d:0.771
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#381   d:0.771
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#383   d:0.771
#384   d:0.772
#385   d:0.772

#386   d:0.772
#387   d:0.772
#388   d:0.772
#389   d:0.772
#390   d:0.772

#391   d:0.772
#392   d:0.772
#393   d:0.773
#394   d:0.773
#395   d:0.773

#396   d:0.773
#397   d:0.773
#398   d:0.773
#399   d:0.773
#400   d:0.773

#401   d:0.773
#402   d:0.773
#403   d:0.773
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#406   d:0.774
#407   d:0.774
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#411   d:0.774
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#413   d:0.774
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#416   d:0.774
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#421   d:0.774
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#426   d:0.775
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#436   d:0.776
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#446   d:0.777
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#772   d:0.796
#773   d:0.796
#774   d:0.796
#775   d:0.796

#776   d:0.796
#777   d:0.796
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#779   d:0.796
#780   d:0.796

#781   d:0.796
#782   d:0.796
#783   d:0.796
#784   d:0.796
#785   d:0.796

#786   d:0.796
#787   d:0.796
#788   d:0.796
#789   d:0.796
#790   d:0.797

#791   d:0.797
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#795   d:0.797

#796   d:0.797
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#800   d:0.797

#801   d:0.797
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#804   d:0.797
#805   d:0.797

#806   d:0.797
#807   d:0.797
#808   d:0.797
#809   d:0.797
#810   d:0.797

#811   d:0.797
#812   d:0.797
#813   d:0.798
#814   d:0.798
#815   d:0.798

#816   d:0.798
#817   d:0.798
#818   d:0.798
#819   d:0.798
#820   d:0.798

#821   d:0.798
#822   d:0.798
#823   d:0.798
#824   d:0.798
#825   d:0.798

#826   d:0.798
#827   d:0.798
#828   d:0.798
#829   d:0.798
#830   d:0.798

#831   d:0.798
#832   d:0.798
#833   d:0.798
#834   d:0.799
#835   d:0.799

#836   d:0.799
#837   d:0.799
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#839   d:0.799
#840   d:0.799

#841   d:0.799
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#843   d:0.799
#844   d:0.799
#845   d:0.799

#846   d:0.799
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#850   d:0.799

#851   d:0.799
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#855   d:0.799

#856   d:0.799
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#859   d:0.799
#860   d:0.799

#861   d:0.800
#862   d:0.800
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#865   d:0.800

#866   d:0.800
#867   d:0.800
#868   d:0.800
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#871   d:0.800
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#875   d:0.800

#876   d:0.800
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#880   d:0.800

#881   d:0.800
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#885   d:0.800

#886   d:0.800
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#890   d:0.801

#891   d:0.801
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#895   d:0.801

#896   d:0.801
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#900   d:0.801

#901   d:0.801
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#904   d:0.801
#905   d:0.801

#906   d:0.801
#907   d:0.801
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#909   d:0.801
#910   d:0.801

#911   d:0.801
#912   d:0.801
#913   d:0.802
#914   d:0.802
#915   d:0.802

#916   d:0.802
#917   d:0.802
#918   d:0.802
#919   d:0.802
#920   d:0.802

#921   d:0.802
#922   d:0.802
#923   d:0.802
#924   d:0.802
#925   d:0.802

#926   d:0.802
#927   d:0.802
#928   d:0.802
#929   d:0.802
#930   d:0.802

#931   d:0.802
#932   d:0.802
#933   d:0.802
#934   d:0.802
#935   d:0.802

#936   d:0.802
#937   d:0.802
#938   d:0.802
#939   d:0.802
#940   d:0.802

#941   d:0.803
#942   d:0.803
#943   d:0.803
#944   d:0.803
#945   d:0.803

#946   d:0.803
#947   d:0.803
#948   d:0.803
#949   d:0.803
#950   d:0.803

#951   d:0.803
#952   d:0.803
#953   d:0.803
#954   d:0.803
#955   d:0.804

#956   d:0.804
#957   d:0.804
#958   d:0.804
#959   d:0.804
#960   d:0.804

#961   d:0.804
#962   d:0.804
#963   d:0.804
#964   d:0.804
#965   d:0.804

#966   d:0.804
#967   d:0.804
#968   d:0.804
#969   d:0.804
#970   d:0.804

#971   d:0.804
#972   d:0.804
#973   d:0.804
#974   d:0.804
#975   d:0.804

#976   d:0.804
#977   d:0.805
#978   d:0.805
#979   d:0.805
#980   d:0.805

#981   d:0.805
#982   d:0.805
#983   d:0.805
#984   d:0.805
#985   d:0.805

#986   d:0.805
#987   d:0.805
#988   d:0.805
#989   d:0.805
#990   d:0.805

#991   d:0.805
#992   d:0.805
#993   d:0.805
#994   d:0.805
#995   d:0.805

#996   d:0.805
#997   d:0.805
#998   d:0.805
#999   d:0.805
#1000   d:0.806
Dataset: YFCC100M-HNfc6
ISTI-CNR | Artificial Intelligence for Multimedia Information Retrieval Group |