Query: 5637507906

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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: 5637507906

#1   d:0.000
#2   d:0.683
#3   d:0.686
#4   d:0.689
#5   d:0.691

#6   d:0.694
#7   d:0.695
#8   d:0.696
#9   d:0.697
#10   d:0.698

#11   d:0.699
#12   d:0.700
#13   d:0.700
#14   d:0.705
#15   d:0.706

#16   d:0.707
#17   d:0.707
#18   d:0.707
#19   d:0.710
#20   d:0.710

#21   d:0.711
#22   d:0.712
#23   d:0.714
#24   d:0.714
#25   d:0.714

#26   d:0.714
#27   d:0.715
#28   d:0.716
#29   d:0.716
#30   d:0.716

#31   d:0.717
#32   d:0.717
#33   d:0.717
#34   d:0.717
#35   d:0.718

#36   d:0.718
#37   d:0.718
#38   d:0.718
#39   d:0.718
#40   d:0.718

#41   d:0.718
#42   d:0.719
#43   d:0.719
#44   d:0.720
#45   d:0.720

#46   d:0.720
#47   d:0.720
#48   d:0.720
#49   d:0.720
#50   d:0.721

#51   d:0.721
#52   d:0.721
#53   d:0.721
#54   d:0.722
#55   d:0.722

#56   d:0.722
#57   d:0.723
#58   d:0.723
#59   d:0.723
#60   d:0.723

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

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

#71   d:0.725
#72   d:0.725
#73   d:0.725
#74   d:0.726
#75   d:0.726

#76   d:0.727
#77   d:0.727
#78   d:0.727
#79   d:0.727
#80   d:0.727

#81   d:0.727
#82   d:0.728
#83   d:0.728
#84   d:0.728
#85   d:0.728

#86   d:0.728
#87   d:0.728
#88   d:0.728
#89   d:0.728
#90   d:0.729

#91   d:0.729
#92   d:0.729
#93   d:0.729
#94   d:0.729
#95   d:0.729

#96   d:0.729
#97   d:0.729
#98   d:0.729
#99   d:0.729
#100   d:0.729

#101   d:0.729
#102   d:0.729
#103   d:0.730
#104   d:0.730
#105   d:0.730

#106   d:0.730
#107   d:0.731
#108   d:0.731
#109   d:0.731
#110   d:0.731

#111   d:0.731
#112   d:0.731
#113   d:0.731
#114   d:0.731
#115   d:0.731

#116   d:0.731
#117   d:0.732
#118   d:0.732
#119   d:0.732
#120   d:0.732

#121   d:0.733
#122   d:0.733
#123   d:0.733
#124   d:0.733
#125   d:0.733

#126   d:0.733
#127   d:0.733
#128   d:0.733
#129   d:0.733
#130   d:0.733

#131   d:0.733
#132   d:0.733
#133   d:0.733
#134   d:0.733
#135   d:0.733

#136   d:0.733
#137   d:0.734
#138   d:0.734
#139   d:0.734
#140   d:0.734

#141   d:0.734
#142   d:0.734
#143   d:0.734
#144   d:0.734
#145   d:0.734

#146   d:0.735
#147   d:0.735
#148   d:0.735
#149   d:0.735
#150   d:0.735

#151   d:0.735
#152   d:0.735
#153   d:0.735
#154   d:0.735
#155   d:0.735

#156   d:0.735
#157   d:0.735
#158   d:0.735
#159   d:0.735
#160   d:0.736

#161   d:0.736
#162   d:0.736
#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:0.736
#170   d:0.737

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

#176   d:0.737
#177   d:0.737
#178   d:0.737
#179   d:0.737
#180   d:0.737

#181   d:0.737
#182   d:0.738
#183   d:0.738
#184   d:0.738
#185   d:0.738

#186   d:0.738
#187   d:0.738
#188   d:0.738
#189   d:0.738
#190   d:0.738

#191   d:0.738
#192   d:0.738
#193   d:0.738
#194   d:0.738
#195   d:0.738

#196   d:0.738
#197   d:0.738
#198   d:0.739
#199   d:0.739
#200   d:0.739

#201   d:0.739
#202   d:0.739
#203   d:0.739
#204   d:0.739
#205   d:0.739

#206   d:0.739
#207   d:0.739
#208   d:0.739
#209   d:0.739
#210   d:0.739

#211   d:0.739
#212   d:0.739
#213   d:0.739
#214   d:0.739
#215   d:0.739

#216   d:0.740
#217   d:0.740
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#219   d:0.740
#220   d:0.740

#221   d:0.740
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#225   d:0.740

#226   d:0.740
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#229   d:0.740
#230   d:0.740

#231   d:0.740
#232   d:0.740
#233   d:0.740
#234   d:0.741
#235   d:0.741

#236   d:0.741
#237   d:0.741
#238   d:0.741
#239   d:0.741
#240   d:0.741

#241   d:0.741
#242   d:0.741
#243   d:0.741
#244   d:0.741
#245   d:0.741

#246   d:0.741
#247   d:0.741
#248   d:0.741
#249   d:0.742
#250   d:0.742

#251   d:0.742
#252   d:0.742
#253   d:0.742
#254   d:0.742
#255   d:0.742

#256   d:0.742
#257   d:0.742
#258   d:0.742
#259   d:0.742
#260   d:0.742

#261   d:0.742
#262   d:0.742
#263   d:0.742
#264   d:0.742
#265   d:0.742

#266   d:0.742
#267   d:0.743
#268   d:0.743
#269   d:0.743
#270   d:0.743

#271   d:0.743
#272   d:0.743
#273   d:0.743
#274   d:0.743
#275   d:0.743

#276   d:0.743
#277   d:0.743
#278   d:0.743
#279   d:0.743
#280   d:0.743

#281   d:0.743
#282   d:0.743
#283   d:0.743
#284   d:0.743
#285   d:0.743

#286   d:0.743
#287   d:0.743
#288   d:0.744
#289   d:0.744
#290   d:0.744

#291   d:0.744
#292   d:0.744
#293   d:0.744
#294   d:0.744
#295   d:0.744

#296   d:0.744
#297   d:0.744
#298   d:0.744
#299   d:0.744
#300   d:0.744

#301   d:0.744
#302   d:0.744
#303   d:0.744
#304   d:0.744
#305   d:0.744

#306   d:0.745
#307   d:0.745
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#309   d:0.745
#310   d:0.745

#311   d:0.745
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#315   d:0.745

#316   d:0.745
#317   d:0.745
#318   d:0.745
#319   d:0.745
#320   d:0.745

#321   d:0.745
#322   d:0.745
#323   d:0.745
#324   d:0.745
#325   d:0.745

#326   d:0.745
#327   d:0.745
#328   d:0.745
#329   d:0.745
#330   d:0.745

#331   d:0.745
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#333   d:0.745
#334   d:0.745
#335   d:0.745

#336   d:0.746
#337   d:0.746
#338   d:0.746
#339   d:0.746
#340   d:0.746

#341   d:0.746
#342   d:0.746
#343   d:0.746
#344   d:0.746
#345   d:0.746

#346   d:0.746
#347   d:0.746
#348   d:0.746
#349   d:0.746
#350   d:0.746

#351   d:0.746
#352   d:0.746
#353   d:0.746
#354   d:0.746
#355   d:0.746

#356   d:0.746
#357   d:0.746
#358   d:0.746
#359   d:0.746
#360   d:0.746

#361   d:0.746
#362   d:0.746
#363   d:0.746
#364   d:0.746
#365   d:0.747

#366   d:0.747
#367   d:0.747
#368   d:0.747
#369   d:0.747
#370   d:0.747

#371   d:0.747
#372   d:0.747
#373   d:0.747
#374   d:0.747
#375   d:0.747

#376   d:0.747
#377   d:0.747
#378   d:0.747
#379   d:0.747
#380   d:0.747

#381   d:0.747
#382   d:0.747
#383   d:0.747
#384   d:0.747
#385   d:0.747

#386   d:0.747
#387   d:0.747
#388   d:0.747
#389   d:0.747
#390   d:0.748

#391   d:0.748
#392   d:0.748
#393   d:0.748
#394   d:0.748
#395   d:0.748

#396   d:0.748
#397   d:0.748
#398   d:0.748
#399   d:0.748
#400   d:0.748

#401   d:0.748
#402   d:0.748
#403   d:0.748
#404   d:0.748
#405   d:0.748

#406   d:0.748
#407   d:0.748
#408   d:0.748
#409   d:0.748
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#411   d:0.748
#412   d:0.748
#413   d:0.748
#414   d:0.748
#415   d:0.748

#416   d:0.748
#417   d:0.749
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#419   d:0.749
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#421   d:0.749
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#423   d:0.749
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#426   d:0.749
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#431   d:0.749
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#436   d:0.749
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#438   d:0.749
#439   d:0.749
#440   d:0.749

#441   d:0.750
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#446   d:0.750
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#769   d:0.758
#770   d:0.758

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#815   d:0.759

#816   d:0.759
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#936   d:0.761
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#975   d:0.762

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#981   d:0.762
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#986   d:0.762
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#991   d:0.762
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#995   d:0.762

#996   d:0.762
#997   d:0.762
#998   d:0.762
#999   d:0.762
#1000   d:0.762
Dataset: YFCC100M-HNfc6
ISTI-CNR | Artificial Intelligence for Multimedia Information Retrieval Group |