Query: 6875579149

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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: 6875579149

#1   d:0.000
#2   d:0.874
#3   d:0.882
#4   d:0.889
#5   d:0.890

#6   d:0.897
#7   d:0.901
#8   d:0.904
#9   d:0.906
#10   d:0.907

#11   d:0.907
#12   d:0.908
#13   d:0.911
#14   d:0.913
#15   d:0.915

#16   d:0.917
#17   d:0.919
#18   d:0.919
#19   d:0.921
#20   d:0.921

#21   d:0.921
#22   d:0.922
#23   d:0.922
#24   d:0.922
#25   d:0.924

#26   d:0.924
#27   d:0.925
#28   d:0.926
#29   d:0.927
#30   d:0.927

#31   d:0.927
#32   d:0.927
#33   d:0.928
#34   d:0.928
#35   d:0.929

#36   d:0.929
#37   d:0.930
#38   d:0.930
#39   d:0.930
#40   d:0.931

#41   d:0.932
#42   d:0.932
#43   d:0.933
#44   d:0.933
#45   d:0.934

#46   d:0.934
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#48   d:0.934
#49   d:0.935
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#51   d:0.935
#52   d:0.936
#53   d:0.936
#54   d:0.937
#55   d:0.937

#56   d:0.937
#57   d:0.938
#58   d:0.938
#59   d:0.939
#60   d:0.940

#61   d:0.940
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#64   d:0.941
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#66   d:0.942
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#71   d:0.943
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#76   d:0.943
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#81   d:0.945
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#86   d:0.945
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#91   d:0.947
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#96   d:0.949
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#101   d:0.949
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#106   d:0.950
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#111   d:0.951
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#116   d:0.951
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#126   d:0.952
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#146   d:0.955
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#191   d:0.961
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#196   d:0.961
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#201   d:0.961
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#206   d:0.962
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#231   d:0.964
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#235   d:0.965

#236   d:0.965
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#241   d:0.965
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#246   d:0.965
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#250   d:0.966

#251   d:0.966
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#255   d:0.966

#256   d:0.966
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#261   d:0.966
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#266   d:0.967
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#276   d:0.967
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#281   d:0.968
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#283   d:0.968
#284   d:0.968
#285   d:0.968

#286   d:0.968
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#291   d:0.969
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#296   d:0.969
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#301   d:0.970
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#306   d:0.970
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#316   d:0.970
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#320   d:0.971

#321   d:0.971
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#326   d:0.971
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#331   d:0.971
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#336   d:0.972
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#341   d:0.972
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#346   d:0.972
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#351   d:0.973
#352   d:0.973
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#356   d:0.973
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#361   d:0.973
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#365   d:0.973

#366   d:0.974
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#376   d:0.974
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#381   d:0.975
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#386   d:0.975
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#391   d:0.975
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#396   d:0.975
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#749   d:0.989
#750   d:0.989

#751   d:0.989
#752   d:0.989
#753   d:0.989
#754   d:0.989
#755   d:0.989

#756   d:0.989
#757   d:0.989
#758   d:0.989
#759   d:0.989
#760   d:0.989

#761   d:0.989
#762   d:0.989
#763   d:0.989
#764   d:0.989
#765   d:0.989

#766   d:0.989
#767   d:0.989
#768   d:0.989
#769   d:0.989
#770   d:0.989

#771   d:0.989
#772   d:0.989
#773   d:0.989
#774   d:0.989
#775   d:0.989

#776   d:0.989
#777   d:0.989
#778   d:0.989
#779   d:0.989
#780   d:0.989

#781   d:0.989
#782   d:0.990
#783   d:0.990
#784   d:0.990
#785   d:0.990

#786   d:0.990
#787   d:0.990
#788   d:0.990
#789   d:0.990
#790   d:0.990

#791   d:0.990
#792   d:0.990
#793   d:0.990
#794   d:0.990
#795   d:0.990

#796   d:0.990
#797   d:0.990
#798   d:0.990
#799   d:0.990
#800   d:0.990

#801   d:0.990
#802   d:0.990
#803   d:0.990
#804   d:0.990
#805   d:0.990

#806   d:0.990
#807   d:0.990
#808   d:0.990
#809   d:0.990
#810   d:0.990

#811   d:0.990
#812   d:0.991
#813   d:0.991
#814   d:0.991
#815   d:0.991

#816   d:0.991
#817   d:0.991
#818   d:0.991
#819   d:0.991
#820   d:0.991

#821   d:0.991
#822   d:0.991
#823   d:0.991
#824   d:0.991
#825   d:0.991

#826   d:0.991
#827   d:0.991
#828   d:0.991
#829   d:0.991
#830   d:0.991

#831   d:0.991
#832   d:0.991
#833   d:0.991
#834   d:0.991
#835   d:0.991

#836   d:0.991
#837   d:0.991
#838   d:0.991
#839   d:0.991
#840   d:0.991

#841   d:0.991
#842   d:0.991
#843   d:0.991
#844   d:0.991
#845   d:0.991

#846   d:0.991
#847   d:0.991
#848   d:0.991
#849   d:0.991
#850   d:0.991

#851   d:0.991
#852   d:0.992
#853   d:0.992
#854   d:0.992
#855   d:0.992

#856   d:0.992
#857   d:0.992
#858   d:0.992
#859   d:0.992
#860   d:0.992

#861   d:0.992
#862   d:0.992
#863   d:0.992
#864   d:0.992
#865   d:0.992

#866   d:0.992
#867   d:0.992
#868   d:0.992
#869   d:0.992
#870   d:0.992

#871   d:0.992
#872   d:0.992
#873   d:0.992
#874   d:0.992
#875   d:0.992

#876   d:0.992
#877   d:0.992
#878   d:0.993
#879   d:0.993
#880   d:0.993

#881   d:0.993
#882   d:0.993
#883   d:0.993
#884   d:0.993
#885   d:0.993

#886   d:0.993
#887   d:0.993
#888   d:0.993
#889   d:0.993
#890   d:0.993

#891   d:0.993
#892   d:0.993
#893   d:0.993
#894   d:0.993
#895   d:0.993

#896   d:0.993
#897   d:0.993
#898   d:0.993
#899   d:0.993
#900   d:0.993

#901   d:0.993
#902   d:0.993
#903   d:0.993
#904   d:0.993
#905   d:0.993

#906   d:0.993
#907   d:0.993
#908   d:0.993
#909   d:0.993
#910   d:0.993

#911   d:0.993
#912   d:0.993
#913   d:0.993
#914   d:0.993
#915   d:0.993

#916   d:0.993
#917   d:0.993
#918   d:0.993
#919   d:0.993
#920   d:0.993

#921   d:0.993
#922   d:0.994
#923   d:0.994
#924   d:0.994
#925   d:0.994

#926   d:0.994
#927   d:0.994
#928   d:0.994
#929   d:0.994
#930   d:0.994

#931   d:0.994
#932   d:0.994
#933   d:0.994
#934   d:0.994
#935   d:0.994

#936   d:0.994
#937   d:0.994
#938   d:0.994
#939   d:0.994
#940   d:0.994

#941   d:0.994
#942   d:0.994
#943   d:0.994
#944   d:0.994
#945   d:0.994

#946   d:0.994
#947   d:0.994
#948   d:0.994
#949   d:0.994
#950   d:0.994

#951   d:0.994
#952   d:0.994
#953   d:0.994
#954   d:0.994
#955   d:0.994

#956   d:0.994
#957   d:0.994
#958   d:0.994
#959   d:0.994
#960   d:0.994

#961   d:0.994
#962   d:0.994
#963   d:0.994
#964   d:0.994
#965   d:0.994

#966   d:0.994
#967   d:0.994
#968   d:0.994
#969   d:0.995
#970   d:0.995

#971   d:0.995
#972   d:0.995
#973   d:0.995
#974   d:0.995
#975   d:0.995

#976   d:0.995
#977   d:0.995
#978   d:0.995
#979   d:0.995
#980   d:0.995

#981   d:0.995
#982   d:0.995
#983   d:0.995
#984   d:0.995
#985   d:0.995

#986   d:0.995
#987   d:0.995
#988   d:0.995
#989   d:0.995
#990   d:0.995

#991   d:0.995
#992   d:0.995
#993   d:0.995
#994   d:0.995
#995   d:0.995

#996   d:0.995
#997   d:0.995
#998   d:0.995
#999   d:0.995
#1000   d:0.995
Dataset: YFCC100M-HNfc6
ISTI-CNR | Artificial Intelligence for Multimedia Information Retrieval Group |