Query: 4773581650

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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: 4773581650

#1   d:0.000
#2   d:0.642
#3   d:0.680
#4   d:0.698
#5   d:0.703

#6   d:0.707
#7   d:0.713
#8   d:0.714
#9   d:0.721
#10   d:0.721

#11   d:0.722
#12   d:0.724
#13   d:0.725
#14   d:0.725
#15   d:0.728

#16   d:0.728
#17   d:0.729
#18   d:0.731
#19   d:0.731
#20   d:0.731

#21   d:0.732
#22   d:0.734
#23   d:0.735
#24   d:0.736
#25   d:0.736

#26   d:0.737
#27   d:0.738
#28   d:0.738
#29   d:0.738
#30   d:0.739

#31   d:0.739
#32   d:0.739
#33   d:0.739
#34   d:0.739
#35   d:0.740

#36   d:0.740
#37   d:0.741
#38   d:0.741
#39   d:0.741
#40   d:0.742

#41   d:0.742
#42   d:0.742
#43   d:0.742
#44   d:0.742
#45   d:0.742

#46   d:0.742
#47   d:0.743
#48   d:0.743
#49   d:0.743
#50   d:0.743

#51   d:0.743
#52   d:0.744
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#54   d:0.744
#55   d:0.744

#56   d:0.744
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#58   d:0.745
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#60   d:0.745

#61   d:0.745
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#63   d:0.746
#64   d:0.746
#65   d:0.746

#66   d:0.746
#67   d:0.747
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#69   d:0.747
#70   d:0.747

#71   d:0.747
#72   d:0.747
#73   d:0.748
#74   d:0.748
#75   d:0.748

#76   d:0.748
#77   d:0.748
#78   d:0.748
#79   d:0.749
#80   d:0.749

#81   d:0.749
#82   d:0.749
#83   d:0.749
#84   d:0.749
#85   d:0.749

#86   d:0.750
#87   d:0.750
#88   d:0.751
#89   d:0.751
#90   d:0.751

#91   d:0.751
#92   d:0.751
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#96   d:0.752
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#101   d:0.753
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#106   d:0.753
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#111   d:0.754
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#116   d:0.754
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#121   d:0.755
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#126   d:0.756
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#131   d:0.757
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#136   d:0.758
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#140   d:0.758

#141   d:0.758
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#144   d:0.758
#145   d:0.758

#146   d:0.759
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#151   d:0.759
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#156   d:0.760
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#161   d:0.761
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#165   d:0.761

#166   d:0.761
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#171   d:0.761
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#176   d:0.761
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#181   d:0.762
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#186   d:0.762
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#191   d:0.763
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#196   d:0.763
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#200   d:0.763

#201   d:0.763
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#206   d:0.764
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#211   d:0.764
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#214   d:0.764
#215   d:0.764

#216   d:0.765
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#220   d:0.765

#221   d:0.765
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#225   d:0.765

#226   d:0.765
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#229   d:0.766
#230   d:0.766

#231   d:0.766
#232   d:0.766
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#234   d:0.766
#235   d:0.766

#236   d:0.767
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#238   d:0.767
#239   d:0.767
#240   d:0.767

#241   d:0.767
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#245   d:0.767

#246   d:0.767
#247   d:0.767
#248   d:0.767
#249   d:0.767
#250   d:0.767

#251   d:0.767
#252   d:0.767
#253   d:0.768
#254   d:0.768
#255   d:0.768

#256   d:0.768
#257   d:0.768
#258   d:0.768
#259   d:0.768
#260   d:0.768

#261   d:0.768
#262   d:0.768
#263   d:0.768
#264   d:0.768
#265   d:0.768

#266   d:0.768
#267   d:0.768
#268   d:0.768
#269   d:0.768
#270   d:0.769

#271   d:0.769
#272   d:0.769
#273   d:0.769
#274   d:0.769
#275   d:0.769

#276   d:0.769
#277   d:0.769
#278   d:0.769
#279   d:0.769
#280   d:0.769

#281   d:0.769
#282   d:0.769
#283   d:0.769
#284   d:0.769
#285   d:0.769

#286   d:0.769
#287   d:0.769
#288   d:0.769
#289   d:0.769
#290   d:0.769

#291   d:0.769
#292   d:0.770
#293   d:0.770
#294   d:0.770
#295   d:0.770

#296   d:0.770
#297   d:0.770
#298   d:0.770
#299   d:0.770
#300   d:0.770

#301   d:0.770
#302   d:0.770
#303   d:0.770
#304   d:0.770
#305   d:0.770

#306   d:0.770
#307   d:0.770
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#309   d:0.770
#310   d:0.770

#311   d:0.770
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#314   d:0.770
#315   d:0.770

#316   d:0.771
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#320   d:0.771

#321   d:0.771
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#325   d:0.771

#326   d:0.771
#327   d:0.771
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#331   d:0.771
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#336   d:0.772
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#341   d:0.772
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#346   d:0.772
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#351   d:0.773
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#356   d:0.773
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#361   d:0.773
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#366   d:0.773
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#371   d:0.774
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#376   d:0.774
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#381   d:0.774
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#386   d:0.774
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#388   d:0.775
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#391   d:0.775
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#396   d:0.775
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#400   d:0.775

#401   d:0.775
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#403   d:0.775
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#406   d:0.775
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#411   d:0.775
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#996   d:0.790
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#999   d:0.790
#1000   d:0.790
Dataset: YFCC100M-HNfc6
ISTI-CNR | Artificial Intelligence for Multimedia Information Retrieval Group |