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41 - 48 of 48 search results for :pc53 24 / |u:mi.eng.cam.ac.uk where 0 match all words and 48 match some words.

  1. Results that match 1 of 2 words

  2. Product of Gaussians for Speech Recognition M.J.F. Gales and ...

    mi.eng.cam.ac.uk/~mjfg/airey_CSL06.pdf
    22 Nov 2006: Now for the priors to satisfy 22. wmKm 0 (24). with the additional constraint that at least one of the meta-component valuesis greater than zero.

  3. Incremental Learning of Temporally-CoherentGaussian Mixture Models…

    mi.eng.cam.ac.uk/reports/svr-ftp/arandjelovic_SME06.pdf
    14 Mar 2006: 18] N. Vlassis and A Likas. A kurtosis-based dynamic approach to Gaussian mixture modeling.Systems, Max, and Cybernetics – Part A: Systems and Humans, 24(9):393–399, 1999.

  4. article.dvi

    mi.eng.cam.ac.uk/~mjfg/rosti_CSL04.pdf
    22 Nov 2006: Factor analysed hidden Markov models for. speech recognition. A-V.I. Rosti , M.J.F. Gales. Cambridge University Engineering Department, Trumpington Street, Cambridge,. CB2 1PZ, UK. Abstract. Recently various techniques to improve the correlation

  5. ESTIMATION OF DISPLACEMENTLOCATION FOR ENHANCED STRAIN IMAGING J. E.…

    mi.eng.cam.ac.uk/reports/svr-ftp/lindop_tr550.pdf
    30 Mar 2006: Examples includequasistatic compression imaging [26, 29], axial shear wave imaging [32] and acoustic radiationforce imaging in both quasistatic/impulsive [24] and dynamic [2] forms. ... We substitute this into Equation 24, and rearrange to produce a

  6. SUB-SAMPLE INTERPOLATIONSTRATEGIES FOR SENSORLESSFREEHAND 3D…

    mi.eng.cam.ac.uk/reports/svr-ftp/housden_tr545.pdf
    13 Jan 2006: 0.11 9.47 0.09fourier 5.26 0.44 12.24 0.17 9.89 0.08 8.84 0.31.

  7. DYNAMIC RESOLUTION SELECTIONIN ULTRASONIC STRAIN IMAGING J. E.…

    mi.eng.cam.ac.uk/reports/svr-ftp/lindop_tr566.pdf
    29 Sep 2006: 1.24. 1.26. 1.28. 1.3. 1.32. 1.34x 10. 3. scatterer depth (m). ... f) Window length (max=175), strain and SNRe forDRS, SNRe=12.87 and V=5.24.

  8. paper563_final.dvi

    mi.eng.cam.ac.uk/reports/svr-ftp/thayananthan_eccv06.pdf
    14 Sep 2006: IEEE Trans. Pattern Analysis and Machine Intell., 24(4):509–522,April 2002. 5. M. ... Journal of Computer Vision, 48(1):9–19, June 2002. 24. J. Vermaak, A.

  9. 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 = 40.80RMS= 24.85. ln = 78.35RMS= 26.56. ln = 98.72RMS = 12.67. ... ln = 30.47RMS= 13.12. ln = 54.29RMS= 24.98. Figure 6:Pose Detection:This illustrates results from applying the GMM learnt from 8k marginaland 2k joint data points with 50

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