Query: 5923419132

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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: 5923419132

#1   d:0.000
#2   d:0.242
#3   d:0.289
#4   d:0.307
#5   d:0.413

#6   d:0.693
#7   d:0.701
#8   d:0.707
#9   d:0.713
#10   d:0.715

#11   d:0.721
#12   d:0.722
#13   d:0.725
#14   d:0.725
#15   d:0.726

#16   d:0.728
#17   d:0.729
#18   d:0.729
#19   d:0.731
#20   d:0.733

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

#26   d:0.736
#27   d:0.736
#28   d:0.737
#29   d:0.737
#30   d:0.737

#31   d:0.737
#32   d:0.738
#33   d:0.738
#34   d:0.738
#35   d:0.739

#36   d:0.739
#37   d:0.740
#38   d:0.741
#39   d:0.742
#40   d:0.743

#41   d:0.743
#42   d:0.744
#43   d:0.744
#44   d:0.744
#45   d:0.744

#46   d:0.744
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#48   d:0.744
#49   d:0.745
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#51   d:0.745
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#53   d:0.746
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#55   d:0.746

#56   d:0.747
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#59   d:0.747
#60   d:0.747

#61   d:0.747
#62   d:0.747
#63   d:0.748
#64   d:0.748
#65   d:0.748

#66   d:0.749
#67   d:0.749
#68   d:0.749
#69   d:0.749
#70   d:0.749

#71   d:0.749
#72   d:0.749
#73   d:0.749
#74   d:0.750
#75   d:0.750

#76   d:0.750
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#81   d:0.750
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#86   d:0.751
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#91   d:0.752
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#96   d:0.754
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#101   d:0.755
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#106   d:0.756
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#111   d:0.757
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#116   d:0.758
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#121   d:0.759
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#126   d:0.760
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#131   d:0.761
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#136   d:0.762
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#141   d:0.762
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#146   d:0.763
#147   d:0.763
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#150   d:0.764

#151   d:0.764
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#154   d:0.764
#155   d:0.764

#156   d:0.764
#157   d:0.764
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#159   d:0.765
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#161   d:0.765
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#165   d:0.765

#166   d:0.765
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#171   d:0.765
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#176   d:0.766
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#181   d:0.766
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#186   d:0.766
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#201   d:0.768
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#206   d:0.768
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#211   d:0.769
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#216   d:0.769
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#219   d:0.769
#220   d:0.769

#221   d:0.769
#222   d:0.769
#223   d:0.770
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#226   d:0.770
#227   d:0.770
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#231   d:0.770
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#236   d:0.770
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#246   d:0.771
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#250   d:0.771

#251   d:0.771
#252   d:0.771
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#255   d:0.772

#256   d:0.772
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#258   d:0.772
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#260   d:0.772

#261   d:0.772
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#264   d:0.773
#265   d:0.773

#266   d:0.773
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#268   d:0.773
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#271   d:0.773
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#275   d:0.773

#276   d:0.773
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#281   d:0.773
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#286   d:0.774
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#290   d:0.774

#291   d:0.774
#292   d:0.774
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#294   d:0.775
#295   d:0.775

#296   d:0.775
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#300   d:0.775

#301   d:0.775
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#306   d:0.775
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#311   d:0.775
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#316   d:0.775
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#321   d:0.776
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#326   d:0.776
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#331   d:0.777
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#336   d:0.777
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#341   d:0.777
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#346   d:0.777
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#351   d:0.778
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#361   d:0.778
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#376   d:0.779
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#401   d:0.780
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#406   d:0.780
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#771   d:0.794
#772   d:0.794
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#946   d:0.798
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#962   d:0.798
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#965   d:0.799

#966   d:0.799
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#976   d:0.799
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#985   d:0.799

#986   d:0.799
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#995   d:0.799

#996   d:0.799
#997   d:0.799
#998   d:0.799
#999   d:0.799
#1000   d:0.799
Dataset: YFCC100M-HNfc6
ISTI-CNR | Artificial Intelligence for Multimedia Information Retrieval Group |