Query: 2704979856

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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: 2704979856

#1   d:0.000
#2   d:0.691
#3   d:0.692
#4   d:0.695
#5   d:0.703

#6   d:0.703
#7   d:0.704
#8   d:0.705
#9   d:0.706
#10   d:0.708

#11   d:0.709
#12   d:0.712
#13   d:0.712
#14   d:0.712
#15   d:0.713

#16   d:0.716
#17   d:0.716
#18   d:0.716
#19   d:0.719
#20   d:0.720

#21   d:0.722
#22   d:0.723
#23   d:0.724
#24   d:0.725
#25   d:0.725

#26   d:0.726
#27   d:0.728
#28   d:0.729
#29   d:0.731
#30   d:0.731

#31   d:0.733
#32   d:0.733
#33   d:0.733
#34   d:0.734
#35   d:0.735

#36   d:0.736
#37   d:0.736
#38   d:0.737
#39   d:0.737
#40   d:0.737

#41   d:0.737
#42   d:0.738
#43   d:0.738
#44   d:0.738
#45   d:0.738

#46   d:0.739
#47   d:0.739
#48   d:0.739
#49   d:0.740
#50   d:0.741

#51   d:0.741
#52   d:0.741
#53   d:0.742
#54   d:0.742
#55   d:0.742

#56   d:0.743
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#59   d:0.743
#60   d:0.744

#61   d:0.744
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#63   d:0.745
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#66   d:0.746
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#71   d:0.746
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#74   d:0.747
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#76   d:0.747
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#78   d:0.747
#79   d:0.748
#80   d:0.748

#81   d:0.748
#82   d:0.748
#83   d:0.749
#84   d:0.749
#85   d:0.749

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

#91   d:0.750
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#96   d:0.751
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#101   d:0.751
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#106   d:0.752
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#111   d:0.753
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#116   d:0.754
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#121   d:0.755
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#126   d:0.755
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#131   d:0.756
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#135   d:0.756

#136   d:0.757
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#140   d:0.758

#141   d:0.758
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#145   d:0.758

#146   d:0.758
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#151   d:0.759
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#156   d:0.759
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#166   d:0.760
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#171   d:0.760
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#176   d:0.761
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#181   d:0.761
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#201   d:0.763
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#206   d:0.764
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#211   d:0.764
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#215   d:0.765

#216   d:0.765
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#221   d:0.765
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#226   d:0.765
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#229   d:0.766
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#231   d:0.766
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#234   d:0.766
#235   d:0.766

#236   d:0.766
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#239   d:0.766
#240   d:0.766

#241   d:0.766
#242   d:0.767
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#244   d:0.767
#245   d:0.767

#246   d:0.767
#247   d:0.767
#248   d:0.767
#249   d:0.767
#250   d:0.768

#251   d:0.768
#252   d:0.768
#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:0.769
#262   d:0.769
#263   d:0.769
#264   d:0.769
#265   d:0.769

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

#271   d:0.769
#272   d:0.769
#273   d:0.770
#274   d:0.770
#275   d:0.770

#276   d:0.770
#277   d:0.770
#278   d:0.770
#279   d:0.770
#280   d:0.770

#281   d:0.770
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#285   d:0.770

#286   d:0.770
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#290   d:0.771

#291   d:0.771
#292   d:0.771
#293   d:0.771
#294   d:0.771
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#296   d:0.771
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#298   d:0.771
#299   d:0.771
#300   d:0.771

#301   d:0.771
#302   d:0.771
#303   d:0.771
#304   d:0.771
#305   d:0.771

#306   d:0.771
#307   d:0.772
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#311   d:0.772
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#316   d:0.772
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#321   d:0.772
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#325   d:0.773

#326   d:0.773
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#331   d:0.773
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#336   d:0.773
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#341   d:0.774
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#346   d:0.774
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#351   d:0.774
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#356   d:0.774
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#361   d:0.774
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#366   d:0.775
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#376   d:0.776
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#381   d:0.776
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#386   d:0.776
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#396   d:0.776
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#400   d:0.777

#401   d:0.777
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#403   d:0.777
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#406   d:0.777
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#411   d:0.777
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#769   d:0.790
#770   d:0.790

#771   d:0.790
#772   d:0.790
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#796   d:0.791
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#801   d:0.791
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#815   d:0.791

#816   d:0.791
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#821   d:0.791
#822   d:0.791
#823   d:0.791
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#826   d:0.791
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#836   d:0.792
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#926   d:0.794
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#931   d:0.794
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#936   d:0.794
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#941   d:0.795
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#946   d:0.795
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#956   d:0.795
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#960   d:0.795

#961   d:0.795
#962   d:0.795
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#964   d:0.795
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#966   d:0.795
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#971   d:0.795
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#975   d:0.795

#976   d:0.795
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#981   d:0.795
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#985   d:0.796

#986   d:0.796
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#991   d:0.796
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#995   d:0.796

#996   d:0.796
#997   d:0.796
#998   d:0.796
#999   d:0.796
#1000   d:0.796
Dataset: YFCC100M-HNfc6
ISTI-CNR | Artificial Intelligence for Multimedia Information Retrieval Group |