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  2. 3D ULTRASONIC STRAIN IMAGINGUSING FREEHAND SCANNING ANDA…

    mi.eng.cam.ac.uk/reports/svr-ftp/housden_tr623.pdf
    28 Jan 2009: 1. depends partly on the size and shape of the compressor [20, 23]. ... The lateral and elevationalfocal depths are both 20 mm. 3.1 Mechanical stress artefacts.
  3. 18 Feb 2009: 2.2 Constrained MLLR. A tied mean and covariance transform can be applied to both mean vectors and covariance ma-trices, this is referred to as a constrained linear transform [20, ... µ(m)o = µ(m)s µ. (rm)b (20). Σ(m)o = Σ(m)s Σ. (rm)b (21).
  4. 2 Mar 2009: 0.1 0.2 0.5 1 2 5 10 20 40. 0.1. 0.2. ... 0.5. 1. 2. 5. 10. 20. 40. False Alarm probability (in %). Mis. s pr. obab. ility. (in. %). GMMLLR. 128. λ128. λ.
  5. 2 Mar 2009: 9.15 10.38 11.11Approx 12.21 10.20 9.25 10.29.
  6. 2 Mar 2009: Initially, combination using aminEER. 3The results presented here differ from those previously reported in[20] and [31]. ... 0.1 0.2 0.5 1 2 5 10 20 40. 0.1. 0.2.
  7. paper.2col.dvi

    mi.eng.cam.ac.uk/~mjfg/kai_ASP09.pdf
    2 Mar 2009: As in iterativeMLLR [20], multiple iterations can be used to refine theestimation of MLLR. ... 10 15 20 25 30 35 40 45 50 550.5. 1.
  8. Uniform precision ultrasound strain imaging G.M. Treece, J.E. Lindop, …

    mi.eng.cam.ac.uk/reports/svr-ftp/treece_tr624.pdf
    9 Mar 2009: 6 3 ANALYSIS. 20 40 60 80 100sample number. r2=a. r2=24 a. ... White noise was added toreduce the SNR to 20 dB. The raw strain image in Fig.
  9. 28 Apr 2009: s)d = Adb. (s)ml bd. Cambridge UniversityEngineering Department. Tsinghua University April 2009 20. ... Rep. TR611, February2009, available from http://mi.eng.cam.ac.uk/mjfg/. [20] R. Gopinath, B. Ramabhadran, and S.
  10. 16 Jul 2009: Cambridge UniversityEngineering Department. JHU Workshop 2009 20. Sequence Kernels for Speaker and Speech Recognition. ... 20, pp. 210–229, 2005. [3] H. Lodhi, C. Saunders, J. Shawe-Taylor, N.
  11. Learning to Track with Multiple Observers Björn StengerComputer…

    mi.eng.cam.ac.uk/~cipolla/publications/inproceedings/2009-CVPR-hand-trackingpdf
    28 Jul 2009: and subsequently combinetheir output, by either switching between them [2] or byprobabilistically merging them [8, 15, 18, 20]. ... 20] P. Pérez, J. Vermaak, and A. Blake. Data fusion for visual track-ing with particles.

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