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20 Nov 2015: 34. 24 Engineering Part IIB: 4F10 Statistical Pattern Processing. Feature-Space Example. ... 34. 24 Engineering Part IIB: 4F10 Statistical Pattern Processing. Dimensionality of the Feature Space.

8 Mar 2000: 36.5F4 24.2 25.1 23.1 21.3F5 25.7 24.1 25.9 23.0FX 57.2 53.7 57.1 50.4. ... 24.1 29.9ROVER BN2/3/gd ic 1/4 15.8 9.4 15.2 19.5 26.9 19.4 22.1 29.1.

18 Feb 2009: 24). where γ(m)o,t is the posterior probability of component m given the observation sequence O, bias. ... parameter Mb, and model set M. Differentiating equation 24 with respect to µ̂(rm)b and Σ̂(rm).

20 Feb 2018: Stochastic Language Generation in Dialogueusing Factored Language Models. François Mairesse University of Cambridge. Steve Young University of Cambridge. Most previous work on trainable language generation has focused on two paradigms: (a)using a

25 Sep 2003: j (τ ) = γnum. j (τ ) γden. j (τ ) Cp(O, Sj,τ |Θ̃) (24). ... For more details see [15]. Two globalcomplexity attributes of a single transform HLDA system wereoptimized: the number of Gaussian components per state from therange {12, 16, 24}; the

20 Feb 2018: Effective Handling of Dialogue State in the Hidden. Information State POMDP-based Dialogue Manager. MILICA GAŠIĆ and STEVE YOUNG. Cambridge University Engineering Department. Effective dialogue management is critically dependent on the

1 Apr 2005: Using improved acoustic/language models andby combining systems with different segmentations, the 10RTsystem gave on average a 24% relative reduction in WER over theRT03 system.

29 Apr 2006: average 92.0 64.1 58.3 17.0std 7.8 9.2 24.3 8.8. video sequences of the person in arbitrary motion (signif-icant translation, yaw and pitch, ... cluded and expression variant faces from a single sample per class.PAMI, 24(6), 2002.

10 Nov 2015: g" plane. solution region. aa. 24. 10 Engineering Part IIB: Module 4F10 Statistical Pattern Processing.

26 Mar 2005: 12.5. 13. 13.5. 14. 14.5. 15. SID Threshold. Dev. (24. sh. ... 11. 11.5. 12. 12.5. 13. SID Threshold. Eva. l (24. sh.

23 Jun 2014: Thusmany of the waveform production issues [23] are not rele-vant. Furthermore, these schemes permit model-based adap-tation/compensation approaches [24] to be used for synthesis-ing data with target ... 51, pp. 1039–1064, 2009. [24] M. J. F. Gales,

25 May 2004: Adaptation hypothesis true transCN (27.0). MLLR 27.7 27.0 26.1MMI-DLT 27.5 26.8 24.8MPE-DLT 27.3 26.9 23.2.

3 Feb 2015: This isa very clean model, with no significant correlations between the covariates, the largest correlation coefficientbeing 0.24 between age and one of the site labels.

26 Sep 2016: This serves the basis ofstructured discriminative models including SSVMs. Classifica-tion is performed by solving a semi-Markov inference problem[24]:. ... 994–1006, 2010. [24] S. Sarawagi and W. W. Cohen, “Semi-Markov conditional randomfields for

25 May 2004: System MPE Prior eval03 Male Female. MPE-GI Dynamic MMI 25.9 27.3 24.5MPE-GD MPE-GI model 25.6 27.1 24.1. ... Gaussianised 29.8 21.9 26.0CN 28.7 21.3 25.1. CNC 28.1 20.8 24.6. •

8 Aug 2005: Both, centretemplateandmarginalizedtemplateshow betterclassificationperfor-mancethanthe trainedclassifier, in particular in the high detection range.At de-tectionratesof 0.99 thefalsepositive ratefor thecentretemplateis 0.24, wherasitis 0.64for

8 Mar 2000: 22. 23. 24. 25. 26. 27. 28. 29. 30. 0 5 10 15 20 25. ... Comparing Table 4 with Table 3the advantage of including two passes can clearly be seen: onBNeval98 the error rate was reduced by 24% while the overallcomputation was increased by about a

22 Mar 2004: BIC-global (2-way) 6.25 6.25 26.13 25.21BIC-local (2-way) 7.25 - 25.54 25.12BIC-local (2-way) - 6.75 26.47 24.27. • ... Approx. 8% absolute (24% relative) reduction in DER. • Stability also greatly increased: standard deviation when using many input

9 May 2017: Scalable Recurrent Neural Network. Language Models for Speech. Recognition. Xie Chen. Department of Engineering. University of Cambridge. This dissertation is submitted for the degree of. Doctor of Philosophy. Clare Hall College March 2017. I would

12 Apr 2005: SATSPAMcmllr+ 25.0 17.6 21.4 17.6cmllr 24.9 17.5 21.3 17.5. Table 2.

25 Feb 2019: It calculates the denominator by directly applying forward-backward computations [23, 24] on an unpruned denominator graphon GPU hardware. ... In Proc. ICASSP, volume 2,pages 605–608, 1996. [24] P. C. Woodland and D.

22 Mar 2017: FLP Web FLP Web (#) ASR KWSSwahili 294 – 24.4 0 8.2 8.5 19.6Dholuo 467 1,217 17.5 18.8 6.1 3.0 10.0Amharic 388 ... 4, pp. 1738–1752, 1990. [24] P. Ghahremani, B. BabaAli, D. Povey, K.

26 Jan 2015: 2.33†† (1.70, 3.21) 2.44†† (1.61, 3.71) 2.24†† (1.51, 3.31). ... Journal of Bone and Mineral Research 24 (3), 468–474. Johnell, O., Kanis, J.

19 May 2003: 3.4 100 (6.5, 4.6, -15.3) 3.4 100 (7.7, 2.1, -15.3) 4.0arm 30 100 (24.3, -5.1, -9.3) 5.1 100 ... With the full search range,the low resolution search finds a false minimum absolute difference at offset (8, 48, 24) pixels(in dividing plane coordinates).

10 May 2000: ID BASE BRF UBRF3k 22.2 24.4 33.37k 33.8 37.5 44.3. 14k 41.4 47.6 51.827k 43.0 49.7 53.855k 43.5

26 Jul 2016: 24. 2.6 he framework of linear transform based adaptive training. 26. ... criterion (2.23), and it is deûned as follows:. [f(x). ]. =. {0 when f(x) < 0f(x) when f(x) 0 (2.24). Because of the max{} function, the objective function

29 May 2012: All transitions in this language. 15. 4. classifiers. ml mpeDiscriminative training L2 std dev subset all dataFixed scaling factor 30.5 24.4Scaling factor 53.5. ... Full language model. 2.0 1006 24.88.5 1006 24.41.2 1005 24.42.7 1005 24.54.4 1005 30.8.

17 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

10 Nov 2015: 24 Engineering Part IIB: Module 4F10 Statistical Pattern Processing. Cost of Mis-Classification.

19 Sep 2006: Cambridge University Press, 1999. [FB81] FISCHLER M., BOLLES R.: Random sample consensus:A paradigm for model-fitting with applications to image analysisand automated cartography.CACM 24, 6 (1981), 381–395.

31 Aug 2019: Thesefeatures may include various statistics extracted from audio, acousticmodels, language models and lattices [24]. ... 24] T. Schaaf and T. Kemp, “Confidence measures for spontaneousspeech recognition,” in ICASSP, 1997.

21 Nov 2006: b. . . . . (24). One candidate for estimating the decision bound-ary is the Support Vector Machine (SVM).

25 Mar 2004: This system gave a diarisation error of 24.46% on the develop-ment and 23.85% on the evaluation data. ... Adv Seg Clust Score MetricNONE CUED MIT 24.23 PrimaryCUED TDT4 MIT MIT 28.26 Secondary.

10 Aug 1999: 35 and P02 =. 24. a11 a12 a14 a13a21 a22 a24 a230 0 0 a33. ... F =. 24. 0 0 a24a330 0 a14a33. a24a11 a14a21 a24a12 a14a22 a24a13 a14a23.

15 Jun 2017: How Does the Femoral Cortex Depend onBone Shape? A Methodology for the Joint. Analysis of Surface Texture and Shape. A. H. Gee, G. M. Treece and K. E. S. Poole. CUED/F-INFENG/TR 70415 June 2017. Cambridge University Engineering DepartmentTrumpington

5 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.

20 Feb 2018: Foundations and Trends R inSignal ProcessingVol. 1, No. 3 (2007) 195–304c 2008 M. Gales and S. YoungDOI: 10.1561/2000000004. The Application of Hidden Markov Modelsin Speech Recognition. Mark Gales1 and Steve Young2. 1 Cambridge University

20 Aug 2009: There also exists some studies that considerthe above mentioned similarity measures for multimodality fusion of US images with MRI [4, 17,21] and CT [22, 24, 25]. ... M. Treece, and L. Berman. Engineering a freehand 3D ultrasoundsystem. Pattern

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.

18 Dec 2003: Results were obtained by re-scoring of 4-gramlattices. Feature Transform Swbd1 Swbd2 Cellular Total— 24.2 40.8 40.4 35.1. ... The resulting 4-gram LM is further interpolated with a class-based trigram languagemodel where the classes are automatically

16 Mar 2005: H. Berman. Engineering a freehand 3Dultrasound system. Pattern Recognition Letters, 24(4–5):757–777, 2003. ... Ultrasoundin Medicine and Biology, 24(9):1243–1270, 1998. [22] R. W. Prager, A.

8 Nov 2011: 11/4/2011. 24. Missing data algorithm 1: Alternation. If we know A….

15 Feb 2005: 0.16 0.18 0.2 0.22 0.24 0.2612. 14. 16. 18. 20. 22. ... Cambridge UniversityEngineering Department. RT04 EARS workshop 24. Recent Developments at Cambridge in Broadcast News Transcription.

19 Apr 2000: Of the 110 seconds worth of “news” rejected by the sys-tem with shorter windows, 24 seconds was due to an inter-view with Bill Clinton being re-broadcast, and the

5 Oct 2007: Ultrasonic Imaging, 24(1):1–12, January 2002. [14] L. Mercier, T. Langø, F. ... Ultrasound inMedicine and Biology, 24(9):1243–1270, December 1998. [18] M. O’Donnell and S.

12 Jul 2018: φi (z) = sig(zi) =1. 1 exp (zi). (2.24). Figure 2.5 illustrates the plot of a sigmoid activation function.

16 Sep 2005: Pattern Recognition Letters, 24:757–777, 2003. [8] A. H. Gee, N. E. ... Ultrasound in Medicine & Biology, 24(6):855–869, 1998. [18] F. Rousseau, P.

20 Feb 2018: Partially Observable Markov Decision Processes for Spoken Dialog Systems. Jason D. Williams1 Steve Young AT&T Labs – Research Cambridge University. Engineering Department. Abstract. In a spoken dialog system, determining which action a machine

5 Dec 2003: CACM, 24(6):381–395, June 1981. [6] C. Harris and M. Stephens. A combined corner and edge detector.

19 Jun 2023: conversational assessment. 24. Applying Foundation Models to Auto-marking: Neural Text Grader.