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CLASSIFICATION USING HIERARCHICALMIXTURES OF EXPERTS S.R.Waterhouse…
mi.eng.cam.ac.uk/reports/svr-ftp/auto-pdf/waterhouse_hme.pdf9 Aug 2005: In particular we use a 40-20-40 thresholdcriterion which dictates that an output is only correct if it is greater than 0. ... Back-propagation networks have been used to solvethe problem [12] using a 2-5-5-1 network with shortcut connections between -
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mi.eng.cam.ac.uk/reports/svr-ftp/auto-pdf/niesler_tr258.pdf9 Aug 2005: number of times we would expect to see4. in7[. is. 0 2#4?5@7>.,8 : -)0;2#4D5N7>.,8/L 27>.,8 (20)Assuming words to occur independently within each -
Contour-Based Learning for Object Detection Jamie ShottonDepartment…
mi.eng.cam.ac.uk/reports/svr-ftp/shotton_iccv05.pdf8 Aug 2005: 0 10 20 30 40 50. 0.5. 0.6. 0.7. 0.8. 0.9. ... Cipolla. Filteringusing a tree-based estimator. In ICCV03, pages 1063–1070, 2003. [20] J. -
Face Recognition with Image Sets Using Manifold Density Divergence ...
mi.eng.cam.ac.uk/reports/svr-ftp/oa214_CVPR_2005_paper1.pdf8 Aug 2005: 01. 20. 24. 2.5. 2. 1.5. 1. 0.5. 0. 0.5. 1. ... IEEE Conference on Computer Vision and PatternRecognition, pages 313–320, 2003. [20] B. -
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mi.eng.cam.ac.uk/reports/svr-ftp/auto-pdf/gee_tr174.pdf9 Aug 2005: 10P,= 6 ,Bx| ,=) &,G9o10PB4;,=)20 & &|0S)? ,=E7 C7? 9-x7B ,=q ,W M,G9,W H| Ux77E7 &,Bw!@71(B7 @,=0 & & B4F &S. ... tÖSÉ t Ñ0ÊEÑ&%;Ñ0Ê'#. ( )( ). -100-50. 050. 100. 0. 20. 40. 60. 80. 1002. 4. 6. -
A Face Recognition System for Access Control using Video ...
mi.eng.cam.ac.uk/reports/svr-ftp/arandjelovic_PR06.pdf21 Dec 2005: pus of video sequences of faces in random motion. To learn the model, we took 20. ... For offline learning of illumination subspaces we used 10s video sequences of 20. -
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mi.eng.cam.ac.uk/reports/svr-ftp/auto-pdf/waterhouse_nips94.pdf9 Aug 2005: 0.8. 1. x. y(x). 0 20. 0.02. 0.04. 0.06. 0.08. x. ... y(x. )f(x. ))2. 0 20. 0.2. 0.4. 0.6. 0.8. 1. x. -
TPAMI0110-0304-1 1..13
mi.eng.cam.ac.uk/reports/svr-ftp/williams_pami2005.pdf20 Apr 2005: the same number of data).Fig. 20 shows the mean CPU utilization of each algorithm. ... 20, no. 10, pp. 1025-1039, Oct. 1998. [11] M. Isard and A. -
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mi.eng.cam.ac.uk/reports/svr-ftp/auto-pdf/wu_tr94.pdf9 Aug 2005: 0. 20. 40. 60. 1000 2000 3000 4000. (Hz). (dB). LP(26) Residual. ... 20. 40. 60. 80. 1000 2000 3000 4000. (Hz). (dB). NLP(10-2) Residual Spectrum. -
Sparse Finite Element Level-Sets for Anisotropic Boundary Detection…
mi.eng.cam.ac.uk/reports/svr-ftp/weber_scaleSpace2005.pdf24 May 2005: However, the methodology of [13] is not confined to standardsimplices. Here, we obtain a convenient partitioning M of space as Delaunaytetrahedrisation [20] of the vertex-set (2 Z3).
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