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15 Aug 2007: r)b. ”A(r)T. ”(24). 4. Goto 2 unless converged, or maximum number of iterations.It is possible to stop the estimation at various stages.

19 Feb 2007: H. Berman. Engineering a freehand 3D ultrasoundsystem. Pattern Recognition Letters, 24:757–777, 2003. ... Ultrasound in Medicine & Biology, 24(6):855–869, 1998. R. W. Prager, A.

22 Feb 2007: 20. 25. 30. Cambridge UniversityEngineering Department. ICASSP 2006 Tutorial 24. Recent Progress in LVCSR: An HTK Perspective cMark Gales & Phil Woodland, 2006. ... generate a lattice when recognising the adaptation data– accumulate statistics over the

3 May 2007: dropped. 9. where. c(i) = c(m)c(k) (23)µ(i) = A(m)1(µ(k) b(m)) (24)Σ(i) = A(m)1Σ(k)A(m)T1 (25). ... 24] J Pearl. Probabilistic Reasoning in Intelligent Systems: Networks of Plausible Inference.Morgan Kaufmann, 1988.

16 Aug 2007: The weights control how mucheach jointi affects the transformation of the vertex [24]. ... Eurographics EG’05),24(3):439–448, Aug. 2005.1, 2. [22] S. Seitz, B. Curless, J.

30 Mar 2007: In theplane of the images, the offset is found using standard image registration and motion trackingtechniques [2, 24].

25 May 2007: imaging was first tested clinically for breast scanning [4] and breast screeninghas ever since been a key driver for research [7, 23, 24]. ... Berman. Engineering a freehand 3D ultrasound system.Pattern Recognition Letters, 24(4–5):757–777, February

23 Apr 2007: It is also interesting to compare N-Best supervisionto the standard 1-Best supervision adaptation approaches suchas iterative MLLR [24]. ... Zθ(O, H)can be simply calculated using the forward algorithm withp̃(ot|θt),. Zθ(O, H) =. θ. P (θ|M). t.

10 Oct 2007: The set of parameters,Θ(sm),. 1Using this form of auxiliary function yields the same update formulae asusing the extended Baum-Welch (EBW) algorithm [24], [25]. ... Wmpem =B2D. 2m B1Dm B0β. (c)m Dm. (23). where. B2 = Σ̂m (24).

21 Sep 2007: This noise robustness DBN has been used as a framework for uncertainty decoding [7, 24]. ... µ0µ. (m)2x (24). Σ(m)2y diag. {. y. x. µ0Σ. (m)2x. y.