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:0.924
#18   d:0.925
#19   d:0.926
#20   d:0.926

#21   d:0.926
#22   d:0.927
#23   d:0.927
#24   d:0.928
#25   d:0.928

#26   d:0.928
#27   d:0.928
#28   d:0.929
#29   d:0.929
#30   d:0.930

#31   d:0.930
#32   d:0.930
#33   d:0.931
#34   d:0.932
#35   d:0.933

#36   d:0.933
#37   d:0.933
#38   d:0.933
#39   d:0.934
#40   d:0.934

#41   d:0.934
#42   d:0.934
#43   d:0.935
#44   d:0.935
#45   d:0.935

#46   d:0.936
#47   d:0.936
#48   d:0.936
#49   d:0.936
#50   d:0.936

#51   d:0.936
#52   d:0.936
#53   d:0.936
#54   d:0.937
#55   d:0.937

#56   d:0.937
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#58   d:0.938
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#60   d:0.938

#61   d:0.938
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#63   d:0.938
#64   d:0.938
#65   d:0.939

#66   d:0.939
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#68   d:0.939
#69   d:0.939
#70   d:0.940

#71   d:0.940
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#76   d:0.940
#77   d:0.941
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#81   d:0.941
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#86   d:0.941
#87   d:0.942
#88   d:0.942
#89   d:0.942
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#91   d:0.942
#92   d:0.942
#93   d:0.942
#94   d:0.942
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#96   d:0.943
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#100   d:0.943

#101   d:0.943
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#104   d:0.944
#105   d:0.944

#106   d:0.944
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#109   d:0.944
#110   d:0.944

#111   d:0.944
#112   d:0.944
#113   d:0.944
#114   d:0.944
#115   d:0.944

#116   d:0.944
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#118   d:0.945
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#121   d:0.945
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#125   d:0.945

#126   d:0.945
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#131   d:0.946
#132   d:0.946
#133   d:0.946
#134   d:0.946
#135   d:0.946

#136   d:0.946
#137   d:0.946
#138   d:0.946
#139   d:0.946
#140   d:0.946

#141   d:0.946
#142   d:0.946
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#144   d:0.947
#145   d:0.947

#146   d:0.947
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#150   d:0.947

#151   d:0.947
#152   d:0.947
#153   d:0.947
#154   d:0.948
#155   d:0.948

#156   d:0.948
#157   d:0.948
#158   d:0.948
#159   d:0.948
#160   d:0.948

#161   d:0.948
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#166   d:0.949
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#171   d:0.949
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#175   d:0.949

#176   d:0.949
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#181   d:0.950
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#231   d:0.953
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#236   d:0.953
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#241   d:0.953
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#246   d:0.953
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#251   d:0.954
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#256   d:0.954
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#261   d:0.954
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#266   d:0.954
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#268   d:0.954
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#276   d:0.955
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#286   d:0.956
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#291   d:0.956
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#296   d:0.956
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#301   d:0.956
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#316   d:0.957
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#321   d:0.957
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#346   d:0.958
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#356   d:0.958
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#396   d:0.959
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#757   d:0.968
#758   d:0.968
#759   d:0.968
#760   d:0.968

#761   d:0.968
#762   d:0.968
#763   d:0.968
#764   d:0.968
#765   d:0.968

#766   d:0.968
#767   d:0.968
#768   d:0.968
#769   d:0.968
#770   d:0.968

#771   d:0.968
#772   d:0.968
#773   d:0.968
#774   d:0.968
#775   d:0.968

#776   d:0.968
#777   d:0.968
#778   d:0.968
#779   d:0.968
#780   d:0.968

#781   d:0.968
#782   d:0.968
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#784   d:0.968
#785   d:0.968

#786   d:0.968
#787   d:0.968
#788   d:0.968
#789   d:0.968
#790   d:0.968

#791   d:0.968
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#794   d:0.968
#795   d:0.968

#796   d:0.968
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#798   d:0.968
#799   d:0.968
#800   d:0.968

#801   d:0.968
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#804   d:0.968
#805   d:0.968

#806   d:0.968
#807   d:0.968
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#809   d:0.968
#810   d:0.968

#811   d:0.968
#812   d:0.968
#813   d:0.968
#814   d:0.968
#815   d:0.968

#816   d:0.968
#817   d:0.968
#818   d:0.968
#819   d:0.968
#820   d:0.968

#821   d:0.968
#822   d:0.968
#823   d:0.968
#824   d:0.968
#825   d:0.968

#826   d:0.968
#827   d:0.969
#828   d:0.969
#829   d:0.969
#830   d:0.969

#831   d:0.969
#832   d:0.969
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#834   d:0.969
#835   d:0.969

#836   d:0.969
#837   d:0.969
#838   d:0.969
#839   d:0.969
#840   d:0.969

#841   d:0.969
#842   d:0.969
#843   d:0.969
#844   d:0.969
#845   d:0.969

#846   d:0.969
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#851   d:0.969
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#865   d:0.969

#866   d:0.969
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#868   d:0.969
#869   d:0.969
#870   d:0.969

#871   d:0.969
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#875   d:0.969

#876   d:0.969
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#879   d:0.969
#880   d:0.969

#881   d:0.969
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#886   d:0.969
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#890   d:0.969

#891   d:0.969
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#895   d:0.969

#896   d:0.970
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#901   d:0.970
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#904   d:0.970
#905   d:0.970

#906   d:0.970
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#910   d:0.970

#911   d:0.970
#912   d:0.970
#913   d:0.970
#914   d:0.970
#915   d:0.970

#916   d:0.970
#917   d:0.970
#918   d:0.970
#919   d:0.970
#920   d:0.970

#921   d:0.970
#922   d:0.970
#923   d:0.970
#924   d:0.970
#925   d:0.970

#926   d:0.970
#927   d:0.970
#928   d:0.970
#929   d:0.970
#930   d:0.970

#931   d:0.970
#932   d:0.970
#933   d:0.970
#934   d:0.970
#935   d:0.970

#936   d:0.970
#937   d:0.970
#938   d:0.970
#939   d:0.970
#940   d:0.970

#941   d:0.970
#942   d:0.970
#943   d:0.970
#944   d:0.970
#945   d:0.970

#946   d:0.970
#947   d:0.970
#948   d:0.970
#949   d:0.970
#950   d:0.970

#951   d:0.970
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#955   d:0.970

#956   d:0.970
#957   d:0.970
#958   d:0.970
#959   d:0.970
#960   d:0.970

#961   d:0.970
#962   d:0.970
#963   d:0.970
#964   d:0.970
#965   d:0.970

#966   d:0.970
#967   d:0.970
#968   d:0.970
#969   d:0.970
#970   d:0.970

#971   d:0.971
#972   d:0.971
#973   d:0.971
#974   d:0.971
#975   d:0.971

#976   d:0.971
#977   d:0.971
#978   d:0.971
#979   d:0.971
#980   d:0.971

#981   d:0.971
#982   d:0.971
#983   d:0.971
#984   d:0.971
#985   d:0.971

#986   d:0.971
#987   d:0.971
#988   d:0.971
#989   d:0.971
#990   d:0.971

#991   d:0.971
#992   d:0.971
#993   d:0.971
#994   d:0.971
#995   d:0.971

#996   d:0.971
#997   d:0.971
#998   d:0.971
#999   d:0.971
#1000   d:0.971
Dataset: YFCC100M-HNfc6
ISTI-CNR | Artificial Intelligence for Multimedia Information Retrieval Group |