Query: 7044067885

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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: 7044067885

#1   d:0.000
#2   d:0.563
#3   d:0.568
#4   d:0.608
#5   d:0.610

#6   d:0.628
#7   d:0.652
#8   d:0.656
#9   d:0.657
#10   d:0.658

#11   d:0.659
#12   d:0.665
#13   d:0.665
#14   d:0.666
#15   d:0.669

#16   d:0.670
#17   d:0.670
#18   d:0.671
#19   d:0.671
#20   d:0.673

#21   d:0.677
#22   d:0.679
#23   d:0.681
#24   d:0.683
#25   d:0.685

#26   d:0.686
#27   d:0.687
#28   d:0.689
#29   d:0.690
#30   d:0.690

#31   d:0.691
#32   d:0.691
#33   d:0.692
#34   d:0.692
#35   d:0.694

#36   d:0.694
#37   d:0.696
#38   d:0.696
#39   d:0.697
#40   d:0.698

#41   d:0.699
#42   d:0.700
#43   d:0.700
#44   d:0.701
#45   d:0.701

#46   d:0.702
#47   d:0.702
#48   d:0.702
#49   d:0.702
#50   d:0.702

#51   d:0.703
#52   d:0.703
#53   d:0.703
#54   d:0.704
#55   d:0.704

#56   d:0.704
#57   d:0.705
#58   d:0.705
#59   d:0.706
#60   d:0.707

#61   d:0.707
#62   d:0.708
#63   d:0.708
#64   d:0.709
#65   d:0.709

#66   d:0.710
#67   d:0.712
#68   d:0.712
#69   d:0.713
#70   d:0.713

#71   d:0.714
#72   d:0.714
#73   d:0.714
#74   d:0.715
#75   d:0.715

#76   d:0.716
#77   d:0.716
#78   d:0.717
#79   d:0.718
#80   d:0.718

#81   d:0.718
#82   d:0.719
#83   d:0.719
#84   d:0.719
#85   d:0.719

#86   d:0.719
#87   d:0.719
#88   d:0.720
#89   d:0.721
#90   d:0.721

#91   d:0.721
#92   d:0.721
#93   d:0.721
#94   d:0.721
#95   d:0.721

#96   d:0.722
#97   d:0.722
#98   d:0.722
#99   d:0.723
#100   d:0.723

#101   d:0.723
#102   d:0.723
#103   d:0.724
#104   d:0.724
#105   d:0.724

#106   d:0.725
#107   d:0.725
#108   d:0.725
#109   d:0.725
#110   d:0.726

#111   d:0.726
#112   d:0.726
#113   d:0.726
#114   d:0.727
#115   d:0.727

#116   d:0.727
#117   d:0.727
#118   d:0.728
#119   d:0.728
#120   d:0.728

#121   d:0.728
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#123   d:0.728
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#125   d:0.728

#126   d:0.729
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#128   d:0.730
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#130   d:0.730

#131   d:0.730
#132   d:0.730
#133   d:0.730
#134   d:0.730
#135   d:0.730

#136   d:0.731
#137   d:0.731
#138   d:0.731
#139   d:0.731
#140   d:0.731

#141   d:0.732
#142   d:0.732
#143   d:0.732
#144   d:0.733
#145   d:0.733

#146   d:0.733
#147   d:0.733
#148   d:0.733
#149   d:0.734
#150   d:0.734

#151   d:0.734
#152   d:0.734
#153   d:0.734
#154   d:0.734
#155   d:0.734

#156   d:0.734
#157   d:0.734
#158   d:0.735
#159   d:0.735
#160   d:0.735

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

#166   d:0.736
#167   d:0.736
#168   d:0.736
#169   d:0.737
#170   d:0.737

#171   d:0.737
#172   d:0.737
#173   d:0.737
#174   d:0.738
#175   d:0.738

#176   d:0.738
#177   d:0.738
#178   d:0.738
#179   d:0.738
#180   d:0.739

#181   d:0.739
#182   d:0.739
#183   d:0.739
#184   d:0.739
#185   d:0.739

#186   d:0.740
#187   d:0.740
#188   d:0.740
#189   d:0.741
#190   d:0.741

#191   d:0.741
#192   d:0.741
#193   d:0.741
#194   d:0.741
#195   d:0.741

#196   d:0.741
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#198   d:0.741
#199   d:0.742
#200   d:0.742

#201   d:0.742
#202   d:0.742
#203   d:0.742
#204   d:0.743
#205   d:0.743

#206   d:0.743
#207   d:0.743
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#209   d:0.743
#210   d:0.743

#211   d:0.744
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#215   d:0.744

#216   d:0.744
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#221   d:0.745
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#226   d:0.745
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#229   d:0.746
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#231   d:0.746
#232   d:0.746
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#234   d:0.747
#235   d:0.747

#236   d:0.747
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#238   d:0.747
#239   d:0.747
#240   d:0.747

#241   d:0.747
#242   d:0.747
#243   d:0.747
#244   d:0.747
#245   d:0.747

#246   d:0.747
#247   d:0.748
#248   d:0.748
#249   d:0.748
#250   d:0.748

#251   d:0.748
#252   d:0.748
#253   d:0.748
#254   d:0.748
#255   d:0.748

#256   d:0.749
#257   d:0.749
#258   d:0.749
#259   d:0.749
#260   d:0.749

#261   d:0.749
#262   d:0.749
#263   d:0.750
#264   d:0.750
#265   d:0.750

#266   d:0.750
#267   d:0.750
#268   d:0.750
#269   d:0.750
#270   d:0.750

#271   d:0.750
#272   d:0.750
#273   d:0.750
#274   d:0.751
#275   d:0.751

#276   d:0.751
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#280   d:0.751

#281   d:0.751
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#283   d:0.751
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#285   d:0.752

#286   d:0.752
#287   d:0.752
#288   d:0.752
#289   d:0.752
#290   d:0.752

#291   d:0.752
#292   d:0.752
#293   d:0.752
#294   d:0.753
#295   d:0.753

#296   d:0.753
#297   d:0.753
#298   d:0.753
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#300   d:0.753

#301   d:0.753
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#304   d:0.753
#305   d:0.753

#306   d:0.753
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#308   d:0.753
#309   d:0.753
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#311   d:0.754
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#315   d:0.754

#316   d:0.754
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#319   d:0.754
#320   d:0.754

#321   d:0.754
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#325   d:0.755

#326   d:0.755
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#331   d:0.755
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#336   d:0.755
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#341   d:0.756
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#346   d:0.757
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#351   d:0.757
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#356   d:0.757
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#360   d:0.758

#361   d:0.758
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#365   d:0.758

#366   d:0.758
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#371   d:0.758
#372   d:0.758
#373   d:0.758
#374   d:0.759
#375   d:0.759

#376   d:0.759
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#381   d:0.759
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#383   d:0.760
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#385   d:0.760

#386   d:0.760
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#391   d:0.760
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#394   d:0.760
#395   d:0.760

#396   d:0.760
#397   d:0.760
#398   d:0.760
#399   d:0.760
#400   d:0.760

#401   d:0.761
#402   d:0.761
#403   d:0.761
#404   d:0.761
#405   d:0.761

#406   d:0.761
#407   d:0.761
#408   d:0.762
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#411   d:0.762
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#413   d:0.762
#414   d:0.762
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#416   d:0.762
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#421   d:0.762
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#426   d:0.763
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#431   d:0.763
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#436   d:0.763
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#446   d:0.763
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#451   d:0.764
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#456   d:0.764
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#461   d:0.764
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#466   d:0.765
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#471   d:0.765
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#476   d:0.766
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#486   d:0.766
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#777   d:0.781
#778   d:0.781
#779   d:0.781
#780   d:0.781

#781   d:0.781
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#801   d:0.782
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#805   d:0.782

#806   d:0.782
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#816   d:0.783
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#818   d:0.783
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#821   d:0.783
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#824   d:0.783
#825   d:0.783

#826   d:0.783
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#828   d:0.783
#829   d:0.783
#830   d:0.783

#831   d:0.783
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#834   d:0.783
#835   d:0.783

#836   d:0.783
#837   d:0.783
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#926   d:0.787
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#931   d:0.787
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#946   d:0.788
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#960   d:0.788

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#962   d:0.788
#963   d:0.788
#964   d:0.788
#965   d:0.788

#966   d:0.788
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#975   d:0.789

#976   d:0.789
#977   d:0.789
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#986   d:0.789
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#990   d:0.789

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#995   d:0.789

#996   d:0.789
#997   d:0.789
#998   d:0.789
#999   d:0.789
#1000   d:0.789
Dataset: YFCC100M-HNfc6
ISTI-CNR | Artificial Intelligence for Multimedia Information Retrieval Group |