Chinese-noodle

method: sparse(DoG), cb=500 sparse(DoG), cb=1000 r-dense(random), cb=500 r-dense(random), cb=1000 sparse(DoG), cb=1500 sparse(DoG), cb=2000 r-dense(random), cb=2000 r-dense(random), cb=3000 sparse(DoG), cb=1000 (censored) r-dense(random), cb=1000 (censored) g-dense(grid), cb=500 g-dense(grid), cb=1000 g-dense(grid), SPK(L=2), cb=500 g-dense(grid), SPK(L=2), cb=1000 g-dense(grid), SPK(L=1), cb=500 g-dense(grid), SPK(L=1), cb=1000 g-dense(grid), SPK(L=2), cb=500 (censored) g-dense(grid), SPK(L=2), cb=1000 (censored) sMIL-SVM c=10, cb=500 sMIL-SVM c=100, cb=500 sMIL-SVM c=1000, cb=500 sMIL-SVM c=10, cb=1000 sMIL-SVM c=100, cb=1000 sMIL-SVM c=1000, cb=1000     word: sunset mountain waterfall beach flower lion apple baby notebook-PC Chinese-noodle airplane guitar leopard motorbike watch     pos./neg.: positive result negative result     display ALL/A/B group images ALL A B    top 1 - 100101 - 200201 - 300301 - 400401 - 500501 - 600601 - 700701 - 800801 - 900901 - 10001001 - 11001101 - 12001201 - 13001301 - 14001401 - 15001501 - 16001601 - 17001701 - 18001801 - 19001901 - 20002001 - 21002101 - 22002201 - 23002301 - 24002401 - 2420         top page

top 801 - 900    ( 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 )    prev  next  
topn (recall 15.0): 2420
prec.: 0.9677

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[A] no.801  0.94662	[A] no.802  0.94562	[A] no.803  0.94477	[B] no.804  0.94441	[B] no.805  0.94268	[A] no.806  0.94083	[B] no.807  0.93992	[A] no.808  0.93823	[B] no.809  0.93822	[B] no.810  0.93569
[B] no.811  0.93541	[B] no.812  0.93412	[B] no.813  0.93408	[B] no.814  0.93242	[A] no.815  0.93142	[B] no.816  0.92838	[A] no.817  0.92675	[A] no.818  0.92581	[A] no.819  0.92551	[B] no.820  0.92360
[B] no.821  0.92117	[B] no.822  0.92054	[A] no.823  0.92031	[B] no.824  0.91963	[B] no.825  0.91864	[B] no.826  0.91675	[B] no.827  0.91645	[A] no.828  0.91582	[A] no.829  0.91377	[B] no.830  0.91060
[B] no.831  0.91034	[A] no.832  0.90879	[B] no.833  0.90778	[A] no.834  0.90761	[A] no.835  0.90753	[A] no.836  0.90718	[B] no.837  0.90619	[A] no.838  0.90387	[A] no.839  0.90239	[B] no.840  0.90238
[A] no.841  0.90165	[B] no.842  0.90054	[A] no.843  0.89617	[B] no.844  0.89579	[A] no.845  0.89528	[B] no.846  0.89467	[B] no.847  0.89413	[B] no.848  0.89408	[A] no.849  0.89388	[A] no.850  0.89333
[A] no.851  0.89078	[A] no.852  0.89075	[B] no.853  0.89055	[A] no.854  0.89040	[B] no.855  0.89038	[A] no.856  0.88912	[A] no.857  0.88651	[A] no.858  0.88509	[B] no.859  0.88382	[A] no.860  0.88300
[B] no.861  0.88279	[A] no.862  0.88176	[B] no.863  0.87938	[B] no.864  0.87863	[B] no.865  0.87725	[A] no.866  0.87619	[A] no.867  0.87569	[B] no.868  0.87525	[B] no.869  0.87513	[B] no.870  0.87481
[A] no.871  0.87323	[B] no.872  0.87283	[A] no.873  0.87009	[A] no.874  0.86979	[B] no.875  0.86699	[A] no.876  0.86652	[B] no.877  0.86595	[A] no.878  0.86557	[B] no.879  0.86509	[B] no.880  0.86479
[B] no.881  0.86446	[B] no.882  0.86395	[B] no.883  0.86093	[B] no.884  0.86000	[B] no.885  0.85962	[B] no.886  0.85928	[B] no.887  0.85785	[A] no.888  0.85783	[A] no.889  0.85779	[B] no.890  0.85288
[B] no.891  0.85024	[B] no.892  0.84647	[B] no.893  0.84616	[B] no.894  0.84479	[B] no.895  0.84056	[B] no.896  0.83984	[B] no.897  0.83940	[B] no.898  0.83612	[B] no.899  0.83359	[A] no.900  0.82842

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© 2007 Yanai Lab., Department of Computer Science, The University of Electro-Communications, Tokyo, Japan