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mi.eng.cam.ac.uk/~mjfg/yu-asru05.pdf11 Jan 2008: γm(t)ot. )(24). γm(t) is the component posterior derived from P (θ|O, H, λ̂k1).For the frame independent assumption it is necessary to obtain. ... where G and k are the standard sufficient statistics given in equa-tions 23 and 24, except that γm(t) -
A QUALITY-GUIDED DISPLACEMENTTRACKING ALGORITHM FOR ULTRASONIC…
mi.eng.cam.ac.uk/reports/svr-ftp/chen_tr593.pdf17 Jan 2008: Among several techniques for displacement estimation [12, 24], correlation maximization wasthe first to be proposed and remains the most widely used [16]. ... As p1 is the only point ready for processing,it is selected and fed into any suitable -
Comparison of Freehand 3D UltrasoundCalibration Techniques Using a…
mi.eng.cam.ac.uk/reports/svr-ftp/hsu_tr579.pdf5 Sep 2008: H. Berman. Engineering a freehand 3D ultrasoundsystem. Pattern Recognition Letters, 24:757–777, 2003. ... Ultrasound in Medicine & Biology, 24(6):855–869, 1998. F. Rousseau, P. Hellier, and C. -
tech.dvi
mi.eng.cam.ac.uk/reports/svr-ftp/hsu_tr584.pdf5 Sep 2008: µPRA = pW TWS TSI TspI′. (24). This is a measurement of system accuracy, and includes errors from every component of thesystem. -
Minimum Bayes-Risk Techniques forAutomatic Speech Recognition and…
mi.eng.cam.ac.uk/~wjb31/ppubs/SKumarPhDefense2004.pdf16 Feb 2008: Minimum Bayes-Risk Classifiers for Machine Translation. Conclusions and Future Work. MBR Techniques in Automatic Speech Recognition and Machine Translation – p.24/33. -
NONPARAMETRIC SURFACE REGRESSIONFOR STRAIN ESTIMATION J. E. Lindop,…
mi.eng.cam.ac.uk/reports/svr-ftp/lindop_tr598.pdf6 Mar 2008: The. 6. 20 40 60 80 100sample number. ry=24 a. ry=44 a. ... a). 20 40 60 80 100sample number. ry=24 a. ry=44 a. -
DISCRIMINATIVE LANGUAGE MODEL ADAPTATION FORMANDARIN BROADCAST SPEECH …
mi.eng.cam.ac.uk/research/projects/AGILE/publications/liu-asru07.pdf26 Mar 2008: CNN 7.24 12.73 20.48 224.2. Table 5. Model size and text source for English component LMs. ... Adapt Int InitTER%. bnmd06 bcmd05 eval06fixed lin - 72.24 75.28 80.46. -
- + Code Breaking for Automatic Speech ...
mi.eng.cam.ac.uk/~wjb31/ppubs/VenkataramaniThesisTalk05.pdf16 Feb 2008: Code Breaking for Automatic Speech Recognition 24 |35). < > -. Studying Segment Set Pruning. Towards studying the ability of lattice pinching in. -
Automatic Speech Recognition and Statistical Machine Translation…
mi.eng.cam.ac.uk/~wjb31/ppubs/LMathiasDefenseDec07.pdf16 Feb 2008: 32. 34. 36. 38. 40. 42. 44. 8 10 12 14 16 18 20 22 24. ... Lambert Mathias 24 / 43. MotivationProblem Definition. Discriminative Objective functionGrowth Transformations for MT. -
Augmented Statistical Models for Classifying Sequence Data Martin…
mi.eng.cam.ac.uk/~mjfg/thesis_ml362.pdf16 Jan 2008: 2.2.2 Hidden conditional random fields (HCRFs). 24. 2.2.3 Parameter estimation for conditional models.
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