sunset

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 - 1500         top page

top 701 - 800    ( 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 )    prev  next  
topn (recall 15.0): 1500
prec.: 0.9798

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[B] no.701  0.70241	[B] no.702  0.69216	[A] no.703  0.69129	[B] no.704  0.68453	[B] no.705  0.68198	[A] no.706  0.68123	[A] no.707  0.67258	[B] no.708  0.67149	[B] no.709  0.66853	[A] no.710  0.66611
[B] no.711  0.66586	[A] no.712  0.66426	[B] no.713  0.66397	[A] no.714  0.65988	[B] no.715  0.65961	[B] no.716  0.65251	[A] no.717  0.65217	[A] no.718  0.64745	[B] no.719  0.64646	[A] no.720  0.64280
[A] no.721  0.64064	[B] no.722  0.63851	[B] no.723  0.63720	[B] no.724  0.63278	[A] no.725  0.62693	[A] no.726  0.62606	[B] no.727  0.62317	[A] no.728  0.61939	[B] no.729  0.61653	[B] no.730  0.61167
[A] no.731  0.60458	[A] no.732  0.59887	[B] no.733  0.59865	[A] no.734  0.59718	[A] no.735  0.59613	[B] no.736  0.58505	[A] no.737  0.58438	[B] no.738  0.58276	[B] no.739  0.57264	[B] no.740  0.57220
[A] no.741  0.57202	[A] no.742  0.56763	[A] no.743  0.56528	[B] no.744  0.56294	[A] no.745  0.56233	[A] no.746  0.55452	[A] no.747  0.55110	[B] no.748  0.54989	[A] no.749  0.54973	[B] no.750  0.54840
[A] no.751  0.54820	[B] no.752  0.54797	[A] no.753  0.54337	[B] no.754  0.54019	[B] no.755  0.53018	[A] no.756  0.52997	[A] no.757  0.52689	[B] no.758  0.52625	[B] no.759  0.52102	[A] no.760  0.51009
[A] no.761  0.50635	[B] no.762  0.49908	[B] no.763  0.49686	[A] no.764  0.48743	[A] no.765  0.48613	[A] no.766  0.47509	[B] no.767  0.47140	[A] no.768  0.47002	[B] no.769  0.46822	[A] no.770  0.46698
[A] no.771  0.46464	[A] no.772  0.46244	[A] no.773  0.46054	[B] no.774  0.45991	[A] no.775  0.45895	[A] no.776  0.45679	[A] no.777  0.45562	[B] no.778  0.45178	[B] no.779  0.45135	[A] no.780  0.44949
[B] no.781  0.44761	[A] no.782  0.44158	[B] no.783  0.43504	[B] no.784  0.43414	[A] no.785  0.43401	[B] no.786  0.43378	[B] no.787  0.43129	[B] no.788  0.43071	[B] no.789  0.42882	[A] no.790  0.42470
[B] no.791  0.42042	[A] no.792  0.41350	[B] no.793  0.41124	[B] no.794  0.41047	[B] no.795  0.40996	[A] no.796  0.40641	[A] no.797  0.40456	[A] no.798  0.40398	[B] no.799  0.40269	[A] no.800  0.39879

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