Query: 8694849266

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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: 8694849266

#1   d:0.000
#2   d:0.670
#3   d:0.674
#4   d:0.686
#5   d:0.690

#6   d:0.692
#7   d:0.693
#8   d:0.694
#9   d:0.694
#10   d:0.697

#11   d:0.697
#12   d:0.698
#13   d:0.698
#14   d:0.699
#15   d:0.699

#16   d:0.700
#17   d:0.701
#18   d:0.706
#19   d:0.707
#20   d:0.708

#21   d:0.708
#22   d:0.708
#23   d:0.709
#24   d:0.710
#25   d:0.710

#26   d:0.712
#27   d:0.714
#28   d:0.715
#29   d:0.715
#30   d:0.715

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

#36   d:0.719
#37   d:0.719
#38   d:0.719
#39   d:0.720
#40   d:0.720

#41   d:0.721
#42   d:0.721
#43   d:0.721
#44   d:0.722
#45   d:0.722

#46   d:0.723
#47   d:0.723
#48   d:0.723
#49   d:0.724
#50   d:0.724

#51   d:0.724
#52   d:0.724
#53   d:0.725
#54   d:0.726
#55   d:0.726

#56   d:0.727
#57   d:0.727
#58   d:0.728
#59   d:0.728
#60   d:0.729

#61   d:0.729
#62   d:0.730
#63   d:0.730
#64   d:0.730
#65   d:0.730

#66   d:0.731
#67   d:0.731
#68   d:0.732
#69   d:0.732
#70   d:0.733

#71   d:0.733
#72   d:0.733
#73   d:0.734
#74   d:0.734
#75   d:0.734

#76   d:0.734
#77   d:0.734
#78   d:0.735
#79   d:0.735
#80   d:0.735

#81   d:0.735
#82   d:0.736
#83   d:0.736
#84   d:0.736
#85   d:0.736

#86   d:0.736
#87   d:0.737
#88   d:0.737
#89   d:0.737
#90   d:0.737

#91   d:0.737
#92   d:0.737
#93   d:0.737
#94   d:0.737
#95   d:0.737

#96   d:0.738
#97   d:0.739
#98   d:0.739
#99   d:0.739
#100   d:0.739

#101   d:0.740
#102   d:0.740
#103   d:0.740
#104   d:0.740
#105   d:0.740

#106   d:0.740
#107   d:0.741
#108   d:0.741
#109   d:0.741
#110   d:0.741

#111   d:0.741
#112   d:0.741
#113   d:0.741
#114   d:0.741
#115   d:0.742

#116   d:0.742
#117   d:0.742
#118   d:0.743
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#120   d:0.743

#121   d:0.743
#122   d:0.744
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#125   d:0.744

#126   d:0.744
#127   d:0.745
#128   d:0.746
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#130   d:0.746

#131   d:0.746
#132   d:0.746
#133   d:0.747
#134   d:0.747
#135   d:0.747

#136   d:0.747
#137   d:0.747
#138   d:0.747
#139   d:0.747
#140   d:0.748

#141   d:0.748
#142   d:0.748
#143   d:0.748
#144   d:0.749
#145   d:0.749

#146   d:0.749
#147   d:0.749
#148   d:0.749
#149   d:0.749
#150   d:0.749

#151   d:0.750
#152   d:0.750
#153   d:0.750
#154   d:0.750
#155   d:0.750

#156   d:0.750
#157   d:0.751
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#160   d:0.751

#161   d:0.751
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#165   d:0.752

#166   d:0.752
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#171   d:0.753
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#176   d:0.754
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#181   d:0.755
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#186   d:0.755
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#189   d:0.756
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#191   d:0.756
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#196   d:0.756
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#200   d:0.757

#201   d:0.757
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#206   d:0.757
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#211   d:0.758
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#216   d:0.758
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#221   d:0.758
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#226   d:0.758
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#231   d:0.759
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#236   d:0.759
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#240   d:0.759

#241   d:0.760
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#245   d:0.760

#246   d:0.760
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#249   d:0.760
#250   d:0.761

#251   d:0.761
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#253   d:0.761
#254   d:0.761
#255   d:0.761

#256   d:0.761
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#260   d:0.761

#261   d:0.761
#262   d:0.761
#263   d:0.761
#264   d:0.761
#265   d:0.761

#266   d:0.762
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#270   d:0.762

#271   d:0.762
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#274   d:0.762
#275   d:0.762

#276   d:0.762
#277   d:0.763
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#280   d:0.763

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

#286   d:0.763
#287   d:0.763
#288   d:0.764
#289   d:0.764
#290   d:0.764

#291   d:0.764
#292   d:0.764
#293   d:0.764
#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:0.765
#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:0.765

#316   d:0.765
#317   d:0.765
#318   d:0.765
#319   d:0.765
#320   d:0.765

#321   d:0.765
#322   d:0.765
#323   d:0.765
#324   d:0.765
#325   d:0.765

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

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

#336   d:0.766
#337   d:0.766
#338   d:0.766
#339   d:0.766
#340   d:0.766

#341   d:0.767
#342   d:0.767
#343   d:0.767
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#345   d:0.767

#346   d:0.767
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#348   d:0.767
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#350   d:0.767

#351   d:0.767
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#353   d:0.767
#354   d:0.767
#355   d:0.767

#356   d:0.767
#357   d:0.767
#358   d:0.767
#359   d:0.767
#360   d:0.767

#361   d:0.767
#362   d:0.767
#363   d:0.767
#364   d:0.767
#365   d:0.767

#366   d:0.767
#367   d:0.768
#368   d:0.768
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#370   d:0.768

#371   d:0.768
#372   d:0.768
#373   d:0.768
#374   d:0.768
#375   d:0.768

#376   d:0.768
#377   d:0.768
#378   d:0.768
#379   d:0.768
#380   d:0.768

#381   d:0.768
#382   d:0.769
#383   d:0.769
#384   d:0.769
#385   d:0.769

#386   d:0.769
#387   d:0.769
#388   d:0.769
#389   d:0.769
#390   d:0.769

#391   d:0.769
#392   d:0.769
#393   d:0.769
#394   d:0.769
#395   d:0.769

#396   d:0.769
#397   d:0.769
#398   d:0.769
#399   d:0.769
#400   d:0.769

#401   d:0.769
#402   d:0.769
#403   d:0.769
#404   d:0.769
#405   d:0.769

#406   d:0.770
#407   d:0.770
#408   d:0.770
#409   d:0.770
#410   d:0.770

#411   d:0.770
#412   d:0.770
#413   d:0.770
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#416   d:0.770
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#421   d:0.770
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#426   d:0.770
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#431   d:0.771
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#436   d:0.771
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#777   d:0.785
#778   d:0.785
#779   d:0.785
#780   d:0.785

#781   d:0.785
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#816   d:0.787
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#825   d:0.787

#826   d:0.787
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#831   d:0.787
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#835   d:0.787

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#936   d:0.790
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#941   d:0.790
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#946   d:0.790
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#955   d:0.790

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#959   d:0.790
#960   d:0.790

#961   d:0.790
#962   d:0.790
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#964   d:0.790
#965   d:0.790

#966   d:0.791
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#971   d:0.791
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#975   d:0.791

#976   d:0.791
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#981   d:0.791
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#985   d:0.791

#986   d:0.791
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#990   d:0.791

#991   d:0.791
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#995   d:0.791

#996   d:0.791
#997   d:0.791
#998   d:0.791
#999   d:0.791
#1000   d:0.791
Dataset: YFCC100M-HNfc6
ISTI-CNR | Artificial Intelligence for Multimedia Information Retrieval Group |