Query: 5191668047

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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: 5191668047

#1   d:0.000
#2   d:0.850
#3   d:0.872
#4   d:0.888
#5   d:0.906

#6   d:0.909
#7   d:0.909
#8   d:0.914
#9   d:0.915
#10   d:0.915

#11   d:0.923
#12   d:0.923
#13   d:0.923
#14   d:0.924
#15   d:0.924

#16   d:0.924
#17   d:0.925
#18   d:0.926
#19   d:0.926
#20   d:0.928

#21   d:0.928
#22   d:0.928
#23   d:0.929
#24   d:0.929
#25   d:0.930

#26   d:0.930
#27   d:0.930
#28   d:0.933
#29   d:0.933
#30   d:0.933

#31   d:0.933
#32   d:0.934
#33   d:0.934
#34   d:0.934
#35   d:0.935

#36   d:0.935
#37   d:0.936
#38   d:0.936
#39   d:0.936
#40   d:0.936

#41   d:0.936
#42   d:0.936
#43   d:0.937
#44   d:0.937
#45   d:0.937

#46   d:0.937
#47   d:0.938
#48   d:0.938
#49   d:0.938
#50   d:0.938

#51   d:0.938
#52   d:0.939
#53   d:0.939
#54   d:0.939
#55   d:0.939

#56   d:0.939
#57   d:0.940
#58   d:0.940
#59   d:0.940
#60   d:0.940

#61   d:0.940
#62   d:0.940
#63   d:0.941
#64   d:0.941
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#66   d:0.941
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#71   d:0.942
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#76   d:0.942
#77   d:0.942
#78   d:0.943
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#81   d:0.943
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#86   d:0.944
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#88   d:0.944
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#91   d:0.944
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#96   d:0.944
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#100   d:0.945

#101   d:0.945
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#105   d:0.945

#106   d:0.945
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#109   d:0.945
#110   d:0.946

#111   d:0.946
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#116   d:0.946
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#121   d:0.946
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#125   d:0.947

#126   d:0.947
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#129   d:0.947
#130   d:0.947

#131   d:0.947
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#134   d:0.948
#135   d:0.948

#136   d:0.948
#137   d:0.948
#138   d:0.948
#139   d:0.948
#140   d:0.948

#141   d:0.949
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#145   d:0.949

#146   d:0.949
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#151   d:0.949
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#154   d:0.950
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#156   d:0.950
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#161   d:0.950
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#166   d:0.950
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#176   d:0.951
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#181   d:0.951
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#206   d:0.953
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#236   d:0.955
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#246   d:0.956
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#251   d:0.956
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#256   d:0.956
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#266   d:0.957
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#270   d:0.957

#271   d:0.957
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#276   d:0.957
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#286   d:0.957
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#291   d:0.957
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#294   d:0.958
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#296   d:0.958
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#306   d:0.958
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#311   d:0.958
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#321   d:0.958
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#336   d:0.959
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#346   d:0.959
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#376   d:0.960
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#381   d:0.961
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#391   d:0.961
#392   d:0.961
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#394   d:0.961
#395   d:0.961

#396   d:0.961
#397   d:0.961
#398   d:0.961
#399   d:0.961
#400   d:0.961

#401   d:0.961
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#403   d:0.961
#404   d:0.961
#405   d:0.962

#406   d:0.962
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#411   d:0.962
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#416   d:0.962
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#757   d:0.969
#758   d:0.969
#759   d:0.969
#760   d:0.969

#761   d:0.969
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#765   d:0.970

#766   d:0.970
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#770   d:0.970

#771   d:0.970
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#775   d:0.970

#776   d:0.970
#777   d:0.970
#778   d:0.970
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#780   d:0.970

#781   d:0.970
#782   d:0.970
#783   d:0.970
#784   d:0.970
#785   d:0.970

#786   d:0.970
#787   d:0.970
#788   d:0.970
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#800   d:0.970

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#805   d:0.970

#806   d:0.970
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#810   d:0.970

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#815   d:0.970

#816   d:0.970
#817   d:0.970
#818   d:0.970
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#820   d:0.970

#821   d:0.970
#822   d:0.970
#823   d:0.970
#824   d:0.970
#825   d:0.970

#826   d:0.971
#827   d:0.971
#828   d:0.971
#829   d:0.971
#830   d:0.971

#831   d:0.971
#832   d:0.971
#833   d:0.971
#834   d:0.971
#835   d:0.971

#836   d:0.971
#837   d:0.971
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#839   d:0.971
#840   d:0.971

#841   d:0.971
#842   d:0.971
#843   d:0.971
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#846   d:0.971
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#875   d:0.971

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#880   d:0.971

#881   d:0.971
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#885   d:0.971

#886   d:0.971
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#891   d:0.972
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#896   d:0.972
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#901   d:0.972
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#906   d:0.972
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#910   d:0.972

#911   d:0.972
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#913   d:0.972
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#915   d:0.972

#916   d:0.972
#917   d:0.972
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#920   d:0.972

#921   d:0.972
#922   d:0.972
#923   d:0.972
#924   d:0.972
#925   d:0.972

#926   d:0.972
#927   d:0.972
#928   d:0.972
#929   d:0.972
#930   d:0.972

#931   d:0.972
#932   d:0.972
#933   d:0.972
#934   d:0.972
#935   d:0.972

#936   d:0.972
#937   d:0.972
#938   d:0.972
#939   d:0.972
#940   d:0.972

#941   d:0.972
#942   d:0.972
#943   d:0.972
#944   d:0.972
#945   d:0.972

#946   d:0.972
#947   d:0.972
#948   d:0.972
#949   d:0.972
#950   d:0.972

#951   d:0.972
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#954   d:0.972
#955   d:0.972

#956   d:0.972
#957   d:0.972
#958   d:0.972
#959   d:0.972
#960   d:0.972

#961   d:0.972
#962   d:0.972
#963   d:0.972
#964   d:0.972
#965   d:0.972

#966   d:0.972
#967   d:0.973
#968   d:0.973
#969   d:0.973
#970   d:0.973

#971   d:0.973
#972   d:0.973
#973   d:0.973
#974   d:0.973
#975   d:0.973

#976   d:0.973
#977   d:0.973
#978   d:0.973
#979   d:0.973
#980   d:0.973

#981   d:0.973
#982   d:0.973
#983   d:0.973
#984   d:0.973
#985   d:0.973

#986   d:0.973
#987   d:0.973
#988   d:0.973
#989   d:0.973
#990   d:0.973

#991   d:0.973
#992   d:0.973
#993   d:0.973
#994   d:0.973
#995   d:0.973

#996   d:0.973
#997   d:0.973
#998   d:0.973
#999   d:0.973
#1000   d:0.973
Dataset: YFCC100M-HNfc6
ISTI-CNR | Artificial Intelligence for Multimedia Information Retrieval Group |