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

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topn (recall 15.0): 2420
prec.: 0.9677

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[B] no.1  2.82141	[B] no.2  2.80491	[B] no.3  2.79904	[B] no.4  2.78383	[B] no.5  2.75595	[A] no.6  2.75546	[B] no.7  2.73049	[B] no.8  2.68410	[A] no.9  2.68189	[A] no.10  2.66702
[B] no.11  2.66371	[A] no.12  2.64716	[B] no.13  2.60776	[A] no.14  2.60542	[A] no.15  2.60542	[A] no.16  2.60423	[B] no.17  2.59088	[A] no.18  2.58809	[B] no.19  2.56316	[A] no.20  2.55443
[B] no.21  2.53857	[A] no.22  2.52335	[B] no.23  2.52011	[A] no.24  2.51756	[B] no.25  2.51482	[A] no.26  2.51051	[A] no.27  2.49191	[B] no.28  2.48625	[A] no.29  2.48341	[A] no.30  2.47044
[A] no.31  2.44601	[B] no.32  2.43652	[B] no.33  2.42758	[B] no.34  2.42738	[B] no.35  2.42691	[B] no.36  2.42292	[A] no.37  2.42255	[B] no.38  2.42127	[A] no.39  2.41867	[A] no.40  2.41416
[B] no.41  2.41323	[B] no.42  2.41160	[A] no.43  2.40715	[A] no.44  2.40621	[A] no.45  2.40433	[A] no.46  2.40086	[A] no.47  2.39750	[A] no.48  2.39750	[A] no.49  2.39631	[A] no.50  2.39211
[B] no.51  2.39180	[B] no.52  2.38030	[A] no.53  2.36935	[A] no.54  2.36691	[B] no.55  2.36691	[B] no.56  2.36406	[A] no.57  2.36379	[B] no.58  2.35939	[B] no.59  2.35799	[A] no.60  2.35514
[A] no.61  2.35265	[A] no.62  2.35139	[B] no.63  2.34284	[B] no.64  2.33406	[B] no.65  2.32962	[A] no.66  2.32293	[B] no.67  2.31982	[A] no.68  2.31963	[B] no.69  2.31956	[A] no.70  2.31872
[B] no.71  2.31842	[B] no.72  2.31801	[A] no.73  2.31756	[A] no.74  2.31675	[B] no.75  2.31322	[B] no.76  2.30504	[A] no.77  2.30389	[B] no.78  2.30125	[B] no.79  2.29867	[B] no.80  2.28978
[A] no.81  2.28965	[B] no.82  2.28732	[B] no.83  2.28690	[B] no.84  2.28448	[A] no.85  2.28150	[A] no.86  2.28150	[B] no.87  2.27768	[A] no.88  2.27597	[A] no.89  2.27595	[B] no.90  2.27356
[B] no.91  2.26979	[A] no.92  2.26221	[A] no.93  2.26115	[A] no.94  2.25799	[B] no.95  2.25744	[A] no.96  2.25702	[B] no.97  2.25373	[B] no.98  2.25370	[A] no.99  2.25150	[A] no.100  2.24363

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