Query: 453367237

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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: 453367237

#1   d:0.000
#2   d:0.860
#3   d:0.870
#4   d:0.876
#5   d:0.881

#6   d:0.889
#7   d:0.895
#8   d:0.897
#9   d:0.900
#10   d:0.902

#11   d:0.903
#12   d:0.904
#13   d:0.904
#14   d:0.905
#15   d:0.907

#16   d:0.908
#17   d:0.908
#18   d:0.908
#19   d:0.910
#20   d:0.910

#21   d:0.910
#22   d:0.911
#23   d:0.912
#24   d:0.913
#25   d:0.913

#26   d:0.913
#27   d:0.913
#28   d:0.913
#29   d:0.914
#30   d:0.915

#31   d:0.915
#32   d:0.916
#33   d:0.917
#34   d:0.919
#35   d:0.919

#36   d:0.920
#37   d:0.920
#38   d:0.920
#39   d:0.920
#40   d:0.920

#41   d:0.921
#42   d:0.921
#43   d:0.921
#44   d:0.922
#45   d:0.923

#46   d:0.923
#47   d:0.924
#48   d:0.924
#49   d:0.925
#50   d:0.925

#51   d:0.926
#52   d:0.926
#53   d:0.926
#54   d:0.927
#55   d:0.927

#56   d:0.927
#57   d:0.928
#58   d:0.928
#59   d:0.928
#60   d:0.928

#61   d:0.929
#62   d:0.929
#63   d:0.929
#64   d:0.930
#65   d:0.930

#66   d:0.930
#67   d:0.930
#68   d:0.930
#69   d:0.931
#70   d:0.931

#71   d:0.931
#72   d:0.931
#73   d:0.931
#74   d:0.931
#75   d:0.932

#76   d:0.932
#77   d:0.932
#78   d:0.932
#79   d:0.933
#80   d:0.933

#81   d:0.933
#82   d:0.933
#83   d:0.933
#84   d:0.933
#85   d:0.933

#86   d:0.933
#87   d:0.934
#88   d:0.934
#89   d:0.934
#90   d:0.934

#91   d:0.934
#92   d:0.934
#93   d:0.934
#94   d:0.935
#95   d:0.935

#96   d:0.935
#97   d:0.935
#98   d:0.935
#99   d:0.935
#100   d:0.935

#101   d:0.935
#102   d:0.936
#103   d:0.936
#104   d:0.936
#105   d:0.936

#106   d:0.936
#107   d:0.936
#108   d:0.937
#109   d:0.937
#110   d:0.938

#111   d:0.938
#112   d:0.938
#113   d:0.939
#114   d:0.939
#115   d:0.939

#116   d:0.939
#117   d:0.940
#118   d:0.940
#119   d:0.940
#120   d:0.940

#121   d:0.940
#122   d:0.940
#123   d:0.940
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#125   d:0.940

#126   d:0.940
#127   d:0.941
#128   d:0.941
#129   d:0.941
#130   d:0.941

#131   d:0.941
#132   d:0.941
#133   d:0.941
#134   d:0.941
#135   d:0.941

#136   d:0.942
#137   d:0.942
#138   d:0.942
#139   d:0.942
#140   d:0.942

#141   d:0.942
#142   d:0.942
#143   d:0.942
#144   d:0.942
#145   d:0.942

#146   d:0.942
#147   d:0.943
#148   d:0.943
#149   d:0.943
#150   d:0.943

#151   d:0.943
#152   d:0.943
#153   d:0.943
#154   d:0.943
#155   d:0.943

#156   d:0.943
#157   d:0.944
#158   d:0.944
#159   d:0.944
#160   d:0.944

#161   d:0.944
#162   d:0.944
#163   d:0.944
#164   d:0.944
#165   d:0.944

#166   d:0.945
#167   d:0.945
#168   d:0.945
#169   d:0.945
#170   d:0.945

#171   d:0.945
#172   d:0.945
#173   d:0.945
#174   d:0.945
#175   d:0.945

#176   d:0.945
#177   d:0.945
#178   d:0.945
#179   d:0.945
#180   d:0.945

#181   d:0.946
#182   d:0.946
#183   d:0.946
#184   d:0.946
#185   d:0.946

#186   d:0.946
#187   d:0.946
#188   d:0.946
#189   d:0.946
#190   d:0.947

#191   d:0.947
#192   d:0.947
#193   d:0.947
#194   d:0.947
#195   d:0.947

#196   d:0.947
#197   d:0.947
#198   d:0.947
#199   d:0.947
#200   d:0.947

#201   d:0.947
#202   d:0.948
#203   d:0.948
#204   d:0.948
#205   d:0.948

#206   d:0.948
#207   d:0.948
#208   d:0.948
#209   d:0.948
#210   d:0.948

#211   d:0.948
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#213   d:0.948
#214   d:0.949
#215   d:0.949

#216   d:0.949
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#220   d:0.949

#221   d:0.949
#222   d:0.949
#223   d:0.949
#224   d:0.949
#225   d:0.949

#226   d:0.949
#227   d:0.950
#228   d:0.950
#229   d:0.950
#230   d:0.950

#231   d:0.950
#232   d:0.950
#233   d:0.950
#234   d:0.950
#235   d:0.950

#236   d:0.950
#237   d:0.950
#238   d:0.950
#239   d:0.950
#240   d:0.950

#241   d:0.950
#242   d:0.950
#243   d:0.950
#244   d:0.951
#245   d:0.951

#246   d:0.951
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#248   d:0.951
#249   d:0.951
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#251   d:0.951
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#254   d:0.951
#255   d:0.951

#256   d:0.951
#257   d:0.951
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#260   d:0.952

#261   d:0.952
#262   d:0.952
#263   d:0.952
#264   d:0.952
#265   d:0.952

#266   d:0.952
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#268   d:0.952
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#270   d:0.952

#271   d:0.952
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#275   d:0.952

#276   d:0.952
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#280   d:0.952

#281   d:0.952
#282   d:0.953
#283   d:0.953
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#286   d:0.953
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#288   d:0.953
#289   d:0.953
#290   d:0.953

#291   d:0.953
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#294   d:0.953
#295   d:0.953

#296   d:0.953
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#299   d:0.953
#300   d:0.953

#301   d:0.953
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#306   d:0.953
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#311   d:0.954
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#315   d:0.954

#316   d:0.954
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#318   d:0.954
#319   d:0.954
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#321   d:0.954
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#326   d:0.954
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#331   d:0.954
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#336   d:0.955
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#341   d:0.955
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#346   d:0.955
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#351   d:0.955
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#356   d:0.955
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#361   d:0.956
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#366   d:0.956
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#371   d:0.956
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#376   d:0.956
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#381   d:0.957
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#386   d:0.957
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#391   d:0.957
#392   d:0.957
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#394   d:0.957
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#396   d:0.957
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#401   d:0.957
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#406   d:0.958
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#491   d:0.961
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#496   d:0.961
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#756   d:0.967
#757   d:0.967
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#759   d:0.968
#760   d:0.968

#761   d:0.968
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#765   d:0.968

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

#771   d:0.968
#772   d:0.968
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#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
#783   d:0.968
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#800   d:0.969

#801   d:0.969
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#806   d:0.969
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#815   d:0.969

#816   d:0.969
#817   d:0.969
#818   d:0.969
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#820   d:0.969

#821   d:0.969
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#823   d:0.969
#824   d:0.969
#825   d:0.969

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

#831   d:0.969
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#833   d:0.969
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#835   d:0.970

#836   d:0.970
#837   d:0.970
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#840   d:0.970

#841   d:0.970
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#846   d:0.970
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#851   d:0.970
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#876   d:0.970
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#880   d:0.970

#881   d:0.971
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#906   d:0.971
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#911   d:0.971
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#916   d:0.971
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#921   d:0.971
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#923   d:0.971
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#926   d:0.971
#927   d:0.971
#928   d:0.971
#929   d:0.971
#930   d:0.971

#931   d:0.971
#932   d:0.971
#933   d:0.971
#934   d:0.971
#935   d:0.971

#936   d:0.971
#937   d:0.971
#938   d:0.971
#939   d:0.971
#940   d:0.971

#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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#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:0.972
#968   d:0.972
#969   d:0.972
#970   d:0.972

#971   d:0.972
#972   d:0.972
#973   d:0.972
#974   d:0.972
#975   d:0.972

#976   d:0.972
#977   d:0.972
#978   d:0.972
#979   d:0.972
#980   d:0.972

#981   d:0.972
#982   d:0.972
#983   d:0.972
#984   d:0.972
#985   d:0.972

#986   d:0.972
#987   d:0.972
#988   d:0.972
#989   d:0.972
#990   d:0.972

#991   d:0.972
#992   d:0.972
#993   d:0.972
#994   d:0.972
#995   d:0.972

#996   d:0.972
#997   d:0.972
#998   d:0.972
#999   d:0.972
#1000   d:0.973
Dataset: YFCC100M-HNfc6
ISTI-CNR | Artificial Intelligence for Multimedia Information Retrieval Group |