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 601 - 700    ( 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

---

[A] no.601  0.98300	[A] no.602  0.97913	[A] no.603  0.97855	[B] no.604  0.97645	[B] no.605  0.97346	[A] no.606  0.97195	[A] no.607  0.96837	[B] no.608  0.96363	[B] no.609  0.96295	[A] no.610  0.96051
[A] no.611  0.95848	[A] no.612  0.95113	[B] no.613  0.94764	[A] no.614  0.93513	[B] no.615  0.93455	[B] no.616  0.92950	[B] no.617  0.92804	[B] no.618  0.92701	[A] no.619  0.91626	[B] no.620  0.91607
[B] no.621  0.91433	[A] no.622  0.90801	[A] no.623  0.90460	[A] no.624  0.90252	[A] no.625  0.90216	[B] no.626  0.90058	[B] no.627  0.90030	[B] no.628  0.89908	[A] no.629  0.89817	[A] no.630  0.89539
[A] no.631  0.89483	[A] no.632  0.89448	[A] no.633  0.89340	[B] no.634  0.89002	[B] no.635  0.88793	[A] no.636  0.88687	[B] no.637  0.88376	[B] no.638  0.87898	[A] no.639  0.87533	[B] no.640  0.87448
[B] no.641  0.87176	[A] no.642  0.87063	[A] no.643  0.86770	[A] no.644  0.86560	[A] no.645  0.86436	[B] no.646  0.86083	[A] no.647  0.85798	[A] no.648  0.85764	[A] no.649  0.85512	[A] no.650  0.85370
[A] no.651  0.85137	[A] no.652  0.84573	[A] no.653  0.84542	[B] no.654  0.84339	[A] no.655  0.84191	[B] no.656  0.83764	[B] no.657  0.83527	[A] no.658  0.83490	[A] no.659  0.82940	[A] no.660  0.82922
[A] no.661  0.82824	[B] no.662  0.82502	[A] no.663  0.82226	[B] no.664  0.82102	[B] no.665  0.81688	[B] no.666  0.81070	[A] no.667  0.80970	[B] no.668  0.80943	[A] no.669  0.80871	[B] no.670  0.80382
[B] no.671  0.80382	[A] no.672  0.79398	[B] no.673  0.79209	[A] no.674  0.79158	[B] no.675  0.78583	[B] no.676  0.77953	[B] no.677  0.77761	[A] no.678  0.77437	[A] no.679  0.76501	[A] no.680  0.75724
[A] no.681  0.74405	[B] no.682  0.74385	[A] no.683  0.74363	[A] no.684  0.74290	[B] no.685  0.73937	[B] no.686  0.73678	[A] no.687  0.73549	[B] no.688  0.73407	[B] no.689  0.73203	[B] no.690  0.73199
[A] no.691  0.72758	[B] no.692  0.72662	[A] no.693  0.72616	[A] no.694  0.72434	[B] no.695  0.71850	[A] no.696  0.71722	[B] no.697  0.71538	[A] no.698  0.70813	[A] no.699  0.70563	[B] no.700  0.70348

   prev  next  

---

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