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  1. Results that match 1 of 2 words

  2. 22 Nov 2006: The baseline performance is shown in table 1. The. Incremental Adaptation ML-SI MPE-SI— 32.83 29.20. ... 3. 5 10 15 20 25 30. 29. 30. 31. 32.
  3. IEEE TRANS. ON SAP, VOL. ?, NO. ??, ????? ...

    mi.eng.cam.ac.uk/research/projects/AGILE/publications/mjfg_ASL.pdf
    23 Feb 2006: This is generallydone in two separate stages, although it is possible to havemore integrated schemes which alter the segmentation duringthe clustering process [19], [20]. ... 0.16 0.18 0.2 0.22 0.24 0.2612. 14. 16. 18. 20. 22.
  4. Incremental Learning of Temporally-CoherentGaussian Mixture Models…

    mi.eng.cam.ac.uk/reports/svr-ftp/arandjelovic_SME06.pdf
    14 Mar 2006: Briefly, Zwolinski and Yang [20], and Figueredo and Jain [6] overestimate thecomplexity of the model and reduce it by discarding “improbable” components. ... 20] M. Zwolinski and Z. R. Yang. Mutual information theory for adaptive mixture
  5. 22 Nov 2006: atj(20). µmjaij. =2hitγ. mlm (t)(otj µmtj ). β̃mlmj(21). σ2mjaij. =2hitatj γ.
  6. thesis.dvi

    mi.eng.cam.ac.uk/reports/svr-ftp/nock_thesis.pdf
    14 Jun 2006: Speaking Style and Its Effects 20. (F1) than for the more formal, planned studio speech condition (F0) [126].
  7. Semi-supervised Learning of Joint DensityModels for Human Pose…

    mi.eng.cam.ac.uk/reports/svr-ftp/navaratnam_semi_supervised.pdf
    14 Sep 2006: ln = 19.99RMS= 20.83. ln = 31.49RMS = 11.61. ln = 71.82RMS= 20.81. ... ln = 98.76RMS= 34.40. ln = 18.46RMS= 10.85. ln = 20.00RMS= 31.02.
  8. 22 Nov 2006: cmN (ot; µm, Σm) (20). where Km is the normalisation term for the meta-component given in equa-tion 13. ... The form of multiple streamsystem considered here is the synchronous independent stream model imple-mented in HTK(20).
  9. Hierarchical Part-Based Human Body PoseEstimation R. Navaratnam∗ A.…

    mi.eng.cam.ac.uk/reports/svr-ftp/navaratnam_hierarchical.pdf
    14 Sep 2006: to [20]. The dimensions of this model are generic and not adopted to fit each person. ... 20 highest rankedposes (in 98% of such instances) as illustrated in figure 4.
  10. 19 Dec 2006: Uncertainty 1 4 16 256. Clean — 33.2. SPLICENo. 24.6 20.7 17.0 12.3FE-CMLLR 16.3 15.3 12.8 13.5.
  11. C:/SFWDoc/Academic/Publications/2005/ICCV_HCI_2005/FinalPaper/iccv_hci…

    mi.eng.cam.ac.uk/reports/svr-ftp/sfwong_iccv_hci05.pdf
    21 Sep 2006: We used different amount of trainingdata per each pair to re-train the classifier (sample sizes used are 10, 20, 50, 100,300). ... PAMI 20 (1998) 1371–1375. 2. Vogler, C., Metaxas, D.: A framework for recognizing the simultaneous aspects ofamerican

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