Query: 9632158356

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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: 9632158356

#1   d:0.000
#2   d:0.675
#3   d:0.677
#4   d:0.684
#5   d:0.685

#6   d:0.685
#7   d:0.688
#8   d:0.691
#9   d:0.695
#10   d:0.696

#11   d:0.696
#12   d:0.697
#13   d:0.702
#14   d:0.703
#15   d:0.704

#16   d:0.704
#17   d:0.706
#18   d:0.706
#19   d:0.707
#20   d:0.707

#21   d:0.708
#22   d:0.708
#23   d:0.708
#24   d:0.708
#25   d:0.708

#26   d:0.709
#27   d:0.710
#28   d:0.710
#29   d:0.710
#30   d:0.710

#31   d:0.710
#32   d:0.711
#33   d:0.711
#34   d:0.711
#35   d:0.711

#36   d:0.712
#37   d:0.712
#38   d:0.712
#39   d:0.712
#40   d:0.712

#41   d:0.713
#42   d:0.713
#43   d:0.714
#44   d:0.715
#45   d:0.715

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

#51   d:0.716
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#53   d:0.717
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#56   d:0.718
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#58   d:0.718
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#61   d:0.718
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#63   d:0.718
#64   d:0.719
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#66   d:0.719
#67   d:0.720
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#70   d:0.720

#71   d:0.720
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#75   d:0.720

#76   d:0.721
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#79   d:0.723
#80   d:0.723

#81   d:0.723
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#84   d:0.723
#85   d:0.723

#86   d:0.723
#87   d:0.724
#88   d:0.724
#89   d:0.724
#90   d:0.724

#91   d:0.724
#92   d:0.724
#93   d:0.725
#94   d:0.725
#95   d:0.725

#96   d:0.725
#97   d:0.725
#98   d:0.726
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#100   d:0.726

#101   d:0.726
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#105   d:0.727

#106   d:0.727
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#111   d:0.727
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#113   d:0.727
#114   d:0.728
#115   d:0.728

#116   d:0.728
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#120   d:0.729

#121   d:0.729
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#126   d:0.730
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#131   d:0.730
#132   d:0.730
#133   d:0.730
#134   d:0.731
#135   d:0.731

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

#141   d:0.731
#142   d:0.731
#143   d:0.731
#144   d:0.731
#145   d:0.731

#146   d:0.731
#147   d:0.731
#148   d:0.731
#149   d:0.732
#150   d:0.732

#151   d:0.732
#152   d:0.732
#153   d:0.732
#154   d:0.732
#155   d:0.733

#156   d:0.733
#157   d:0.733
#158   d:0.733
#159   d:0.733
#160   d:0.733

#161   d:0.733
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#164   d:0.734
#165   d:0.734

#166   d:0.734
#167   d:0.734
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#170   d:0.734

#171   d:0.734
#172   d:0.734
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#176   d:0.735
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#181   d:0.735
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#184   d:0.736
#185   d:0.736

#186   d:0.736
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#188   d:0.736
#189   d:0.736
#190   d:0.736

#191   d:0.736
#192   d:0.736
#193   d:0.736
#194   d:0.737
#195   d:0.737

#196   d:0.737
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#201   d:0.737
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#206   d:0.737
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#211   d:0.738
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#215   d:0.738

#216   d:0.738
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#221   d:0.738
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#226   d:0.738
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#231   d:0.738
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#234   d:0.738
#235   d:0.738

#236   d:0.738
#237   d:0.738
#238   d:0.738
#239   d:0.738
#240   d:0.739

#241   d:0.739
#242   d:0.739
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#244   d:0.739
#245   d:0.739

#246   d:0.739
#247   d:0.739
#248   d:0.739
#249   d:0.739
#250   d:0.739

#251   d:0.739
#252   d:0.739
#253   d:0.739
#254   d:0.739
#255   d:0.739

#256   d:0.739
#257   d:0.739
#258   d:0.739
#259   d:0.739
#260   d:0.739

#261   d:0.739
#262   d:0.740
#263   d:0.740
#264   d:0.740
#265   d:0.740

#266   d:0.740
#267   d:0.740
#268   d:0.740
#269   d:0.740
#270   d:0.740

#271   d:0.740
#272   d:0.740
#273   d:0.740
#274   d:0.740
#275   d:0.741

#276   d:0.741
#277   d:0.741
#278   d:0.741
#279   d:0.741
#280   d:0.741

#281   d:0.741
#282   d:0.741
#283   d:0.741
#284   d:0.741
#285   d:0.741

#286   d:0.741
#287   d:0.741
#288   d:0.741
#289   d:0.741
#290   d:0.741

#291   d:0.741
#292   d:0.741
#293   d:0.741
#294   d:0.741
#295   d:0.741

#296   d:0.741
#297   d:0.741
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#299   d:0.741
#300   d:0.742

#301   d:0.742
#302   d:0.742
#303   d:0.742
#304   d:0.742
#305   d:0.742

#306   d:0.742
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#311   d:0.742
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#315   d:0.742

#316   d:0.742
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#318   d:0.742
#319   d:0.742
#320   d:0.742

#321   d:0.742
#322   d:0.742
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#326   d:0.743
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#331   d:0.743
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#336   d:0.743
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#341   d:0.743
#342   d:0.743
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#346   d:0.743
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#348   d:0.743
#349   d:0.743
#350   d:0.743

#351   d:0.743
#352   d:0.743
#353   d:0.743
#354   d:0.743
#355   d:0.744

#356   d:0.744
#357   d:0.744
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#361   d:0.744
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#366   d:0.744
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#371   d:0.744
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#375   d:0.745

#376   d:0.745
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#381   d:0.745
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#386   d:0.745
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#388   d:0.745
#389   d:0.745
#390   d:0.745

#391   d:0.745
#392   d:0.746
#393   d:0.746
#394   d:0.746
#395   d:0.746

#396   d:0.746
#397   d:0.746
#398   d:0.746
#399   d:0.746
#400   d:0.746

#401   d:0.746
#402   d:0.746
#403   d:0.746
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#406   d:0.746
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#411   d:0.746
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#416   d:0.746
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#421   d:0.747
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#426   d:0.747
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#764   d:0.756
#765   d:0.756

#766   d:0.756
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#815   d:0.757

#816   d:0.757
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#931   d:0.758
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#935   d:0.758

#936   d:0.758
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#941   d:0.759
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#946   d:0.759
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#960   d:0.759

#961   d:0.759
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#966   d:0.759
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#971   d:0.759
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#975   d:0.759

#976   d:0.759
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#981   d:0.759
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#985   d:0.759

#986   d:0.759
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#991   d:0.759
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#995   d:0.759

#996   d:0.759
#997   d:0.759
#998   d:0.759
#999   d:0.759
#1000   d:0.759
Dataset: YFCC100M-HNfc6
ISTI-CNR | Artificial Intelligence for Multimedia Information Retrieval Group |