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:0.649

#6   d:0.660
#7   d:0.666
#8   d:0.666
#9   d:0.667
#10   d:0.668

#11   d:0.676
#12   d:0.677
#13   d:0.680
#14   d:0.680
#15   d:0.680

#16   d:0.681
#17   d:0.681
#18   d:0.682
#19   d:0.684
#20   d:0.688

#21   d:0.689
#22   d:0.689
#23   d:0.691
#24   d:0.693
#25   d:0.695

#26   d:0.696
#27   d:0.699
#28   d:0.700
#29   d:0.702
#30   d:0.703

#31   d:0.703
#32   d:0.703
#33   d:0.704
#34   d:0.704
#35   d:0.705

#36   d:0.705
#37   d:0.705
#38   d:0.707
#39   d:0.708
#40   d:0.709

#41   d:0.709
#42   d:0.709
#43   d:0.710
#44   d:0.711
#45   d:0.712

#46   d:0.712
#47   d:0.712
#48   d:0.715
#49   d:0.716
#50   d:0.717

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

#56   d:0.717
#57   d:0.717
#58   d:0.718
#59   d:0.720
#60   d:0.720

#61   d:0.721
#62   d:0.723
#63   d:0.723
#64   d:0.724
#65   d:0.724

#66   d:0.724
#67   d:0.725
#68   d:0.725
#69   d:0.725
#70   d:0.726

#71   d:0.726
#72   d:0.727
#73   d:0.727
#74   d:0.728
#75   d:0.728

#76   d:0.729
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#78   d:0.729
#79   d:0.730
#80   d:0.730

#81   d:0.730
#82   d:0.730
#83   d:0.731
#84   d:0.731
#85   d:0.732

#86   d:0.732
#87   d:0.732
#88   d:0.732
#89   d:0.732
#90   d:0.733

#91   d:0.733
#92   d:0.733
#93   d:0.733
#94   d:0.734
#95   d:0.734

#96   d:0.734
#97   d:0.734
#98   d:0.735
#99   d:0.735
#100   d:0.735

#101   d:0.735
#102   d:0.736
#103   d:0.736
#104   d:0.736
#105   d:0.736

#106   d:0.736
#107   d:0.737
#108   d:0.737
#109   d:0.737
#110   d:0.737

#111   d:0.737
#112   d:0.738
#113   d:0.738
#114   d:0.738
#115   d:0.739

#116   d:0.739
#117   d:0.739
#118   d:0.740
#119   d:0.740
#120   d:0.740

#121   d:0.741
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#123   d:0.741
#124   d:0.741
#125   d:0.741

#126   d:0.742
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#128   d:0.742
#129   d:0.743
#130   d:0.743

#131   d:0.743
#132   d:0.743
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#135   d:0.743

#136   d:0.743
#137   d:0.743
#138   d:0.744
#139   d:0.744
#140   d:0.744

#141   d:0.744
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#144   d:0.744
#145   d:0.744

#146   d:0.744
#147   d:0.745
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#150   d:0.745

#151   d:0.746
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#155   d:0.746

#156   d:0.746
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#160   d:0.747

#161   d:0.747
#162   d:0.747
#163   d:0.747
#164   d:0.747
#165   d:0.747

#166   d:0.748
#167   d:0.748
#168   d:0.748
#169   d:0.748
#170   d:0.748

#171   d:0.748
#172   d:0.748
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#174   d:0.749
#175   d:0.749

#176   d:0.749
#177   d:0.750
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#180   d:0.750

#181   d:0.750
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#206   d:0.753
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#216   d:0.754
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#231   d:0.756
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#236   d:0.756
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#246   d:0.757
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#250   d:0.757

#251   d:0.758
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#255   d:0.758

#256   d:0.758
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#261   d:0.758
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#265   d:0.759

#266   d:0.759
#267   d:0.759
#268   d:0.759
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#270   d:0.759

#271   d:0.759
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#275   d:0.760

#276   d:0.760
#277   d:0.760
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#281   d:0.760
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#285   d:0.761

#286   d:0.761
#287   d:0.761
#288   d:0.762
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#290   d:0.762

#291   d:0.762
#292   d:0.762
#293   d:0.762
#294   d:0.762
#295   d:0.762

#296   d:0.762
#297   d:0.762
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#299   d:0.763
#300   d:0.763

#301   d:0.763
#302   d:0.763
#303   d:0.763
#304   d:0.763
#305   d:0.763

#306   d:0.763
#307   d:0.763
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#309   d:0.763
#310   d:0.764

#311   d:0.764
#312   d:0.764
#313   d:0.764
#314   d:0.764
#315   d:0.764

#316   d:0.764
#317   d:0.764
#318   d:0.764
#319   d:0.764
#320   d:0.764

#321   d:0.764
#322   d:0.764
#323   d:0.764
#324   d:0.764
#325   d:0.764

#326   d:0.765
#327   d:0.765
#328   d:0.765
#329   d:0.765
#330   d:0.765

#331   d:0.765
#332   d:0.765
#333   d:0.765
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#335   d:0.766

#336   d:0.766
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#339   d:0.766
#340   d:0.766

#341   d:0.767
#342   d:0.767
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#346   d:0.767
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#350   d:0.767

#351   d:0.767
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#355   d:0.768

#356   d:0.768
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#360   d:0.768

#361   d:0.768
#362   d:0.768
#363   d:0.768
#364   d:0.769
#365   d:0.769

#366   d:0.769
#367   d:0.769
#368   d:0.769
#369   d:0.769
#370   d:0.769

#371   d:0.769
#372   d:0.769
#373   d:0.769
#374   d:0.769
#375   d:0.769

#376   d:0.769
#377   d:0.769
#378   d:0.769
#379   d:0.769
#380   d:0.770

#381   d:0.770
#382   d:0.770
#383   d:0.770
#384   d:0.770
#385   d:0.770

#386   d:0.770
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#391   d:0.770
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#393   d:0.771
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#395   d:0.771

#396   d:0.771
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#398   d:0.771
#399   d:0.771
#400   d:0.771

#401   d:0.771
#402   d:0.771
#403   d:0.771
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#406   d:0.771
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#411   d:0.772
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#413   d:0.772
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#416   d:0.772
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#421   d:0.773
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#816   d:0.795
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#821   d:0.796
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#916   d:0.799
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#936   d:0.800
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#960   d:0.801

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#975   d:0.802

#976   d:0.802
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#981   d:0.802
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#985   d:0.802

#986   d:0.802
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#991   d:0.802
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#995   d:0.802

#996   d:0.802
#997   d:0.802
#998   d:0.802
#999   d:0.802
#1000   d:0.802
Dataset: YFCC100M-HNfc6
ISTI-CNR | Artificial Intelligence for Multimedia Information Retrieval Group |