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31 - 40 of 192 search results for TALK:PC53 20 |u:mi.eng.cam.ac.uk where 0 match all words and 192 match some words.

  1. Results that match 1 of 2 words

  2. ����������� �� ��������������� ���� � ��� �"!$# #&% ' ...

    mi.eng.cam.ac.uk/reports/svr-ftp/auto-pdf/gee_tr174.pdf
    9 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.

  3. x(t) u(t) x(t+1) y(t+1) Time delay ��������� ��� ������� ...

    mi.eng.cam.ac.uk/reports/svr-ftp/auto-pdf/robinson_icassp92.pdf
    9 Aug 2005: 7.4. 0 2 4 6 8 10 12 14 16 18 20. % ... 23.5. 24. 24.5. 25. 25.5. 0 2 4 6 8 10 12 14 16 18 20. %

  4. ��������� �� ���������������������! �"$#&%('�)+*!%�…

    mi.eng.cam.ac.uk/reports/svr-ftp/auto-pdf/wu_tr94.pdf
    9 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.

  5. SVMS, SCORE-SPACES AND MAXIMUM MARGIN STATISTICAL MODELS M.J.F. Gales …

    mi.eng.cam.ac.uk/~mjfg/BeyondHMM.pdf
    15 Jun 2005: o; ) =. "logp̌(o; (1)). log. p̌(o; (2)). r(ρ)λ log(p̌(o; )). #(20). and a linear decision boundary which is determined by the aug-mented model parameters3.

  6. A Modular Q-Learning Architecture for Manipulator Task Decomposition…

    mi.eng.cam.ac.uk/reports/svr-ftp/auto-pdf/tham_ml94.pdf
    9 Aug 2005: 010. 2030. 40. 0. 10. 20. 30. 40-0.2. 0. 0.2. 0.4. ... 010. 2030. 40. 0. 10. 20. 30. 40-0.6. -0.4. -0.2. 0.

  7. The Cambridge University March 2005 Speaker Diarisation System R. ...

    mi.eng.cam.ac.uk/reports/full_html/sinha_eurospeech05.html/paper.pdf
    22 Sep 2005: only) MAPadaptation, withτ = 20 from theB models to theD data. ... IAC DataSetMS/FA/SPE/DER Cluster Imp Seg ImpBase Dev24 1.2/1.1/17.9/20.176.59@718 4.36@2363Base Eval

  8. A Probabilistic Framework for Perceptual Grouping of Features for ...

    mi.eng.cam.ac.uk/reports/svr-ftp/auto-pdf/yow_fg96_1.pdf
    9 Aug 2005: 20]), only work well in highresolution and relatively noise-free images. However, amodel of the object described in terms of higher level fea-tures (such as a face described in terms ... Technical Report CUED/INFENG/TR249, Universityof Cambridge, August

  9. � ������� � ��� ����� ��������� ���������������������� ���…

    mi.eng.cam.ac.uk/reports/svr-ftp/auto-pdf/niesler_tr258.pdf
    9 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

  10. THE DEVELOPMENT OF THE CAMBRIDGE UNIVERSITY RT-04 DIARISATION SYSTEM…

    mi.eng.cam.ac.uk/reports/svr-ftp/tranter_rt04.pdf
    10 Jan 2005: 19.7spkr-mid 16.7 16.2 23.5 23.5 20.0. ... 40 45 50 55 60 6517.5. 18. 18.5. 19. 19.5. 20.

  11. Contour-Based Learning for Object Detection Jamie ShottonDepartment…

    mi.eng.cam.ac.uk/reports/svr-ftp/shotton_iccv05.pdf
    8 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.

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