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 901 - 1000    ( 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.901  0.11647	[B] no.902  0.11624	[A] no.903  0.11388	[B] no.904  0.11326	[B] no.905  0.11241	[A] no.906  0.10921	[B] no.907  0.10787	[A] no.908  0.10621	[A] no.909  0.10505	[B] no.910  0.10358
[B] no.911  0.10354	[A] no.912  0.10296	[B] no.913  0.09994	[A] no.914  0.09885	[B] no.915  0.09306	[B] no.916  0.09255	[B] no.917  0.09077	[A] no.918  0.08895	[A] no.919  0.08864	[A] no.920  0.08631
[B] no.921  0.08605	[B] no.922  0.08540	[A] no.923  0.08045	[B] no.924  0.07541	[B] no.925  0.07541	[B] no.926  0.06585	[A] no.927  0.06425	[B] no.928  0.06361	[A] no.929  0.06062	[B] no.930  0.05271
[A] no.931  0.05077	[B] no.932  0.04537	[B] no.933  0.04293	[A] no.934  0.04144	[A] no.935  0.04026	[A] no.936  0.02953	[A] no.937  0.02939	[B] no.938  0.02719	[A] no.939  0.02568	[A] no.940  0.02272
[A] no.941  0.01881	[A] no.942  0.01614	[B] no.943  0.01435	[A] no.944  0.01264	[A] no.945  0.00995	[A] no.946  0.00784	[B] no.947  0.00030	[B] no.948  -0.00385	[A] no.949  -0.00997	[A] no.950  -0.01343
[A] no.951  -0.01450	[A] no.952  -0.02293	[A] no.953  -0.02443	[A] no.954  -0.02771	[A] no.955  -0.02787	[A] no.956  -0.03085	[B] no.957  -0.03403	[A] no.958  -0.03630	[A] no.959  -0.03711	[B] no.960  -0.03923
[A] no.961  -0.04091	[A] no.962  -0.04104	[A] no.963  -0.04554	[B] no.964  -0.04559	[A] no.965  -0.04784	[B] no.966  -0.04867	[A] no.967  -0.05003	[A] no.968  -0.05095	[A] no.969  -0.05112	[A] no.970  -0.05235
[B] no.971  -0.05342	[A] no.972  -0.05385	[A] no.973  -0.05776	[B] no.974  -0.05954	[A] no.975  -0.06255	[B] no.976  -0.06303	[A] no.977  -0.06457	[B] no.978  -0.06562	[B] no.979  -0.07172	[A] no.980  -0.07495
[A] no.981  -0.07561	[A] no.982  -0.07879	[A] no.983  -0.07974	[A] no.984  -0.08133	[B] no.985  -0.08236	[B] no.986  -0.08396	[A] no.987  -0.09024	[A] no.988  -0.09322	[A] no.989  -0.09376	[A] no.990  -0.09395
[A] no.991  -0.09440	[A] no.992  -0.09754	[B] no.993  -0.09792	[A] no.994  -0.09830	[A] no.995  -0.10020	[B] no.996  -0.10243	[B] no.997  -0.10305	[A] no.998  -0.10308	[B] no.999  -0.11150	[A] no.1000  -0.11172

   prev  next  

---

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