Query: 4352516282

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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:
1  2  3  4  5  6  7  8  9  10  20  30  40  50  60  70  80  90  96 


Query: 4352516282

#1   d:0.000
#2   d:0.902
#3   d:0.902
#4   d:0.906
#5   d:0.915

#6   d:0.917
#7   d:0.922
#8   d:0.927
#9   d:0.929
#10   d:0.932

#11   d:0.933
#12   d:0.934
#13   d:0.935
#14   d:0.935
#15   d:0.936

#16   d:0.937
#17   d:0.939
#18   d:0.939
#19   d:0.940
#20   d:0.941

#21   d:0.942
#22   d:0.943
#23   d:0.944
#24   d:0.944
#25   d:0.945

#26   d:0.945
#27   d:0.946
#28   d:0.946
#29   d:0.947
#30   d:0.947

#31   d:0.947
#32   d:0.947
#33   d:0.948
#34   d:0.949
#35   d:0.949

#36   d:0.950
#37   d:0.951
#38   d:0.951
#39   d:0.951
#40   d:0.952

#41   d:0.952
#42   d:0.952
#43   d:0.953
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#46   d:0.953
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#48   d:0.953
#49   d:0.954
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#51   d:0.954
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#56   d:0.955
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#61   d:0.956
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#66   d:0.958
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#71   d:0.958
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#76   d:0.959
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#81   d:0.960
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#86   d:0.961
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#91   d:0.961
#92   d:0.961
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#96   d:0.963
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#101   d:0.963
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#106   d:0.964
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#111   d:0.964
#112   d:0.965
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#116   d:0.965
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#121   d:0.965
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#126   d:0.966
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#131   d:0.966
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#135   d:0.966

#136   d:0.967
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#140   d:0.967

#141   d:0.967
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#143   d:0.968
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#145   d:0.968

#146   d:0.968
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#151   d:0.968
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#156   d:0.969
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#161   d:0.969
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#166   d:0.969
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#171   d:0.970
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#176   d:0.970
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#181   d:0.970
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#186   d:0.971
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#191   d:0.971
#192   d:0.972
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#196   d:0.972
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#200   d:0.972

#201   d:0.972
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#203   d:0.972
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#206   d:0.973
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#211   d:0.973
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#216   d:0.973
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#221   d:0.973
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#225   d:0.973

#226   d:0.973
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#231   d:0.974
#232   d:0.974
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#234   d:0.974
#235   d:0.974

#236   d:0.974
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#240   d:0.974

#241   d:0.974
#242   d:0.974
#243   d:0.974
#244   d:0.974
#245   d:0.974

#246   d:0.974
#247   d:0.975
#248   d:0.975
#249   d:0.975
#250   d:0.975

#251   d:0.975
#252   d:0.975
#253   d:0.975
#254   d:0.975
#255   d:0.975

#256   d:0.975
#257   d:0.975
#258   d:0.975
#259   d:0.975
#260   d:0.975

#261   d:0.975
#262   d:0.975
#263   d:0.975
#264   d:0.975
#265   d:0.976

#266   d:0.976
#267   d:0.976
#268   d:0.976
#269   d:0.976
#270   d:0.976

#271   d:0.976
#272   d:0.976
#273   d:0.976
#274   d:0.976
#275   d:0.976

#276   d:0.976
#277   d:0.976
#278   d:0.976
#279   d:0.976
#280   d:0.976

#281   d:0.976
#282   d:0.976
#283   d:0.976
#284   d:0.976
#285   d:0.976

#286   d:0.976
#287   d:0.976
#288   d:0.976
#289   d:0.976
#290   d:0.977

#291   d:0.977
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#294   d:0.977
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#296   d:0.977
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#300   d:0.977

#301   d:0.977
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#304   d:0.977
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#306   d:0.977
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#311   d:0.977
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#315   d:0.978

#316   d:0.978
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#321   d:0.978
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#331   d:0.979
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#336   d:0.979
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#341   d:0.979
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#346   d:0.979
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#351   d:0.979
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#356   d:0.980
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#361   d:0.980
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#376   d:0.980
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#381   d:0.981
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#386   d:0.981
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#391   d:0.981
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#396   d:0.981
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#401   d:0.981
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#406   d:0.981
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#411   d:0.982
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#416   d:0.982
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#748   d:0.991
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#750   d:0.991

#751   d:0.991
#752   d:0.991
#753   d:0.991
#754   d:0.991
#755   d:0.991

#756   d:0.991
#757   d:0.991
#758   d:0.991
#759   d:0.991
#760   d:0.991

#761   d:0.991
#762   d:0.991
#763   d:0.991
#764   d:0.991
#765   d:0.991

#766   d:0.991
#767   d:0.991
#768   d:0.991
#769   d:0.991
#770   d:0.991

#771   d:0.991
#772   d:0.991
#773   d:0.991
#774   d:0.991
#775   d:0.992

#776   d:0.992
#777   d:0.992
#778   d:0.992
#779   d:0.992
#780   d:0.992

#781   d:0.992
#782   d:0.992
#783   d:0.992
#784   d:0.992
#785   d:0.992

#786   d:0.992
#787   d:0.992
#788   d:0.992
#789   d:0.992
#790   d:0.992

#791   d:0.992
#792   d:0.992
#793   d:0.992
#794   d:0.992
#795   d:0.992

#796   d:0.992
#797   d:0.992
#798   d:0.992
#799   d:0.992
#800   d:0.992

#801   d:0.992
#802   d:0.992
#803   d:0.992
#804   d:0.992
#805   d:0.992

#806   d:0.992
#807   d:0.992
#808   d:0.992
#809   d:0.992
#810   d:0.992

#811   d:0.992
#812   d:0.992
#813   d:0.992
#814   d:0.992
#815   d:0.992

#816   d:0.992
#817   d:0.992
#818   d:0.992
#819   d:0.992
#820   d:0.992

#821   d:0.992
#822   d:0.992
#823   d:0.992
#824   d:0.992
#825   d:0.992

#826   d:0.992
#827   d:0.992
#828   d:0.992
#829   d:0.992
#830   d:0.992

#831   d:0.992
#832   d:0.992
#833   d:0.992
#834   d:0.992
#835   d:0.992

#836   d:0.992
#837   d:0.992
#838   d:0.992
#839   d:0.993
#840   d:0.993

#841   d:0.993
#842   d:0.993
#843   d:0.993
#844   d:0.993
#845   d:0.993

#846   d:0.993
#847   d:0.993
#848   d:0.993
#849   d:0.993
#850   d:0.993

#851   d:0.993
#852   d:0.993
#853   d:0.993
#854   d:0.993
#855   d:0.993

#856   d:0.993
#857   d:0.993
#858   d:0.993
#859   d:0.993
#860   d:0.993

#861   d:0.993
#862   d:0.993
#863   d:0.993
#864   d:0.993
#865   d:0.993

#866   d:0.993
#867   d:0.993
#868   d:0.993
#869   d:0.993
#870   d:0.993

#871   d:0.993
#872   d:0.993
#873   d:0.993
#874   d:0.993
#875   d:0.993

#876   d:0.993
#877   d:0.993
#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:0.994
#894   d:0.994
#895   d:0.994

#896   d:0.994
#897   d:0.994
#898   d:0.994
#899   d:0.994
#900   d:0.994

#901   d:0.994
#902   d:0.994
#903   d:0.994
#904   d:0.994
#905   d:0.994

#906   d:0.994
#907   d:0.994
#908   d:0.994
#909   d:0.994
#910   d:0.994

#911   d:0.994
#912   d:0.994
#913   d:0.994
#914   d:0.994
#915   d:0.994

#916   d:0.994
#917   d:0.994
#918   d:0.994
#919   d:0.994
#920   d:0.994

#921   d:0.994
#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:0.995
#964   d:0.995
#965   d:0.995

#966   d:0.995
#967   d:0.995
#968   d:0.995
#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 |