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  2. lf3.dvi

    mi.eng.cam.ac.uk/~mjfg/local/4F10/lum.pdf
    11 Nov 2005: understanding andsupporting the goals of people highlights the rich op-portunities ahead for harnessing probability and utilityat the computer{human interface.
  3. 15 Jun 2005: This comes directly fromequation 19. It is interesting to contrast this to MMI training [11].In MMI training the average posterior of the correct label is op-timised.
  4. Multi-view Stereo via Volumetric Graph-cuts G. Vogiatzis1 P. H. ...

    mi.eng.cam.ac.uk/reports/svr-ftp/vogiatzis_cvpr2005.pdf
    31 Mar 2005: The reconstructed surface is obtained by solving the op-timisation. Smin = arg minSC. ... Ourmethod has no concept of a current surface during the op-timisation phase, and therefore has to make the visibilityassumption of section 3.
  5. TWO-WAY CLUSTER VOTING TO IMPROVE SPEAKER DIARISATION PERFORMANCE S.…

    mi.eng.cam.ac.uk/reports/svr-ftp/tranter_icassp05.pdf
    25 Mar 2005: it isalso possible to generate the CVOS members directly from the op-timum speaker mapping between the two inputs.
  6. Filtering Using a Tree-Based Estimator B. Stenger∗ A. Thayananthan∗…

    mi.eng.cam.ac.uk/reports/svr-ftp/thayananthan_iccv03.pdf
    8 Aug 2005: Filtering Using a Tree-Based Estimator. B. Stenger A. Thayananthan P. H. S. Torr† R. Cipolla. University of Cambridge † Microsoft Research Ltd.Department of Engineering 7 JJ Thompson AvenueCambridge, CB2 1PZ, UK Cambridge, CB3 OFB, UK.
  7. Contour-Based Learning for Object Detection Jamie ShottonDepartment…

    mi.eng.cam.ac.uk/reports/svr-ftp/shotton_iccv05.pdf
    8 Aug 2005: Horses were investigatedbriefly in [7] but poor results were obtained. 3Note that ROC curves are not ideal for the task of detection, as op-posed to classification; see [1] for more
  8. Automatic Face Recognition for Film Character Retrieval in…

    mi.eng.cam.ac.uk/reports/svr-ftp/oa214_CVPR_2005_paper2.pdf
    8 Aug 2005: 2.5.1 Improving Registration. In the registration method proposed in Section 2.2, the op-timal warp parameters were estimated from 3 point corre-spondences in 2D.
  9. report.dvi

    mi.eng.cam.ac.uk/reports/svr-ftp/liao_tr499.pdf
    26 Sep 2005: CAMBRIDGE UNIVERSITYENGINEERING DEPARTMENT. Uncertainty Decoding for. Noise Robust. Automatic Speech Recognition. H. Liao and M.J.F. Gales. CUED/F-INFENG/TR.499. October 2004 (Revised January 2005). Cambridge University Engineering Department.
  10. 9 Aug 2005: qp> _ kB1&('10/?@,<'rQ?@>@=s=#?)65k ;1>A&t8Q0<=M)u vKaUwx. op'-0<DF65'C8! #"$. %&('),-.'0/2143
  11. 9 Aug 2005: QNSMJEL?@g;>?dH=#bX@On:4N8Sd E&&9(I-Z/eJf/@sadHN/MS|ETN8SM=/M@OP:4NPSf/@KWETMSJSf/?@Q@-ad>N/MS?|EL:4NSMgEL?@pO:FE

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