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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

20 Dec 1999: Triangulation Each sample point is surrounded by 24 tetrahedra, and each tetrahedronis associated with 4 sample points. ... Computer GraphicsForum, 15(4):191–203, 1996. [24] G. M. Treece, R. W. Prager, A.

14 Sep 2010: yt µ. (ωjM)y. ). . (24). where the clean models have been compensated for the test condition Y,λ = {λ(ωl)y , λ(ωj)y }, and there are a total of ... 05 8.78 8.43 6.20 9.53 8.22. 00

5 Oct 2000: Lattices were generated on the training set using a bigramLM. The bigram 1-best hypotheses had a 24.6% word error rate(WER) and a Lattice WER (LWER) of 6.2%.

21 Sep 2006: 21] for upper bodypose estimation. In [24] it is suggested to partition the parameter spaceof a 3D hand model using a multi-resolution grid. ... range. At detection rates of 0.99 the false positiverate for the centre template is 0.24, wheras it is

23 Jun 2005: 15. 16. 17. 18. SID CLR Threshold. Dev. 24 D. ER. ... Seg. men. t Im. pu. rity. on. dev. 04 (. 24 s.

10 Aug 1999: F =. 24 0 0 c0 0 da b e. 35 : (4). ... F =. 24 0 0. 0 sin0. 0 0 0 cos0sin cos p1 2 02.

15 Feb 2006: For cases like these, the algorithm of [24] couldbe used to refine the class labeling. ... In: AAAI.(2005) 1508–1513. 24. Kumar, S., Hebert, M.: A hierarchical field framework for unified context-basedclassification.

12 May 2016: CUED Lorelei Team. Babel ProgramSeminar at Cambridge University April 2014 24.

13 May 2004: 92 32.06 24.95Num Poss 27 9 3 (39)Best 19.94 36.46 31.74 24.68. ... miss Worst 31.96 37.96 32.06 27.44allowed Mean 24.63 37.45 31.95 25.83.

8 Jul 2003: Disfluency Results. System Edit (BN=84,CTS=521) Filler(BN=143,CTS=840) Total( Context? ) Miss FA Error Miss FA Error ErrorBN-ASR () 91.67 28.57 120.24 48.95 ... 87.41 136.36 130.40BN-ASR (X) 91.67 15.48 107.14 48.95 82.52 131.47 122.47BN-REF () 83.33

12 May 2016: CUED Lorelei TeamBABEL Program. Seminar at Edinburgh University February 2014 24.

29 Apr 2011: Any systematic measurementbias that affects the baseline and 24 month density estimates to different degrees will manifest themselvesas false thickness effects. ... In this instance, thereis a known source of bias: the 24 month scans extended, on average,

22 May 2006: Communications of theACM, 24(6):381–395, 1981. 15. [5] A. H. Gee, R. ... H. Berman. Engineering a freehand 3Dultrasound system. Pattern Recognition Letters, 24:757–777, 2003.

21 Sep 2006: Pattern Recognition Letters, 24(2003):2743–2749, 2003. 8. O. Yamaguchi, K. Fukui, and K.

3 Sep 2010: This chap-ter examines approaches that handle background-noise and channel distortions bymodifying the parameters of the underlying acoustic models, in this case HiddenMarkov Models (HMMs) [52, 24]. ... Though intuitively well motivated, from (24) it can

13 Mar 2018: recognition from face motion manifolds.Image and Vision Computing, 24(5),. 2006. (in press). ... 24] R. O. Duda, P. E. Hart, and D. G. Stork.Pattern Classification.

28 Jul 2004: 4] M. Fischler and R. Bolles. Random sample consensus: A paradigm for model fitting with applications to image analysisand automated cartography.Graphics and Image Processing, 24(6):381–395, 1981.

7 Oct 2023: outliers in the output of the corner detector. 24 Engineering Part IIB: 4F12 Feature extraction.

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

8 Mar 2000: This system gave a word error rate of 24.1% on. the TREC-6 test data. ... 1 77.3 17.5 5.2 5.9 28.6HTK-2 80.8 14.6 4.6 4.9 24.1.

5 Dec 2003: fewer parameters than a setof 24 3D points in general position.

19 Jan 2023: 24. GEC. 25. seq2seq GEC. Treat GEC as a machine translation problem i.e.

11 Feb 2004: Tsai [24] introduces a rich camera model includingradial distortion and proposes a two-stage calibration tech-nique, consisting of an initial linear solution followed by anonlinear optimisation. ... Visual servoing-basedaugmented reality. In Proc. IEEE

4 Aug 2014: 0.3 t < 1.0 1.06 0.37 2.35 1.46 0.58 1.07 0.24 0.14 0.15 0.23 0.04 0.31. ... 0.3 t < 1.0 2 31 24 60 2 35 3 30 3 30 3 30.

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

27 Jul 2001: 1. 00.5. 11.5. 2. 24. 68. 101.6. 1.8. 2. 2.2. 2.4. ... tand. ard. devi. atio. n. (a). 00.5. 11.5. 2. 24. 68.

4 Sep 2004: top right 0.17 0.28 0.07 0.24 < 0.30bottom left 0.22 0.19 0.27 0.35 < 0.39bottom right 0.28 0.27 0.28 ... 3.5 MHz centre 0.24 0.43 0.33 0.14 < 0.43(12 cm) top left 0.43 0.55 0.55 0.49 < 0.75.

10 Nov 2015: 24 Engineering Part IIB: Module 4F10 Statistical Pattern Processing. EM Proof (cont).

21 Mar 2006: Due to the smoothness of faces, each track corre-sponds to an appearance manifold [2, 22, 24], as illustratedin Fig. ... 24] B. Moghaddam and A. Pentland. Principal manifolds and probabilis-tic subspaces for visual recognition.PAMI, 24(6), 2002.2, 3.

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

5 Sep 2008: µPRA = pW TWS TSI TspI′. (24). This is a measurement of system accuracy, and includes errors from every component of thesystem.

22 Jul 2003: CU-DIARY 0.2 9.1 24.0 33.29 2.1 1.5 5.9 9.5MIT-DIARY 2.7 5.6 16.1 24.46 2.8 1.7 ... 1 24.23 2.6 24.7 2.1 43.60PERF 0.2 9.1 0.4 11.60 0.2 29.7 0.4 32.20.

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.

28 Jul 2005: Alam et al. [24] among others have noted that speckle tracking inthis form is suboptimal for elastography, because tissue compression causes both displacements(which are estimated) as well as within-window

12 Jan 2005: 17.1/66.1 44.9/20.1/68.8 51.7/24.8/79.8bnrt04 v1.0 tg 49.7/15.4/68.6 50.2/15.0/68.5 ... 68.0 44.3/24.4/72.5 50.7/28.6/82.7bnrt04 v1.0 cl40-tg 49.1/17.1/68.3 49.4/21.2/74.6

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

8 Mar 2000: Test Data Adaptation ClassesSubset None Global MultipleNM/FB 26.7 24.8 22.3BM/FB 41.2 32.8 31.3NM/RB 58.5 40.7 36.5Overall 36.4 ... HMM-2/1 trans fg 27.2 18.8 26.4 32.6 24.1 29.6 21.1 48.2HMM-2/2 trans fg 26.9 18.7 26.2

5 Dec 2003: If enough epipolar tangencies are available, the epipolar geometry can be estimatedand hence the motion can be determined up to aprojective transformation [23,24].The intrinsic parameters [17] of the cameras ... 563–578. [24] R. I. Hartley, Estimation

18 Jan 2005: E[. (J†δ)(J†δ)T]. = J†E[. δδT]. J†T. = (J T J)1 (24). ... 23). Analogously to Eq. (24), imagelocations are assumed corrupted by independent Gaussiannoise with σ = 1 pixel.

25 May 2004: 16 20 24 28. dev03 bnac 144 17.9bnacTDT4 375 16.8bnacTDT4TDT2 749 16.8 16.5 16.4bnacTDT4TDT2TDT4a 1126 16.7 16.3 16.0 16.1bnacTDT4TDT4a 752 16.7

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.

11 Nov 2005: 1994). Dynamic be-lief networks for discrete monitoring. IEEETransactions on Systems, Man, and Cybernet-ics, 24(11):1593{1610.

25 Oct 2000: Figure 2: Resultsfrom the existing SpaceCarving algorithm using different thresholdsettings. The voxel array size was , and the thresholdswere 48,32,24,16(of 255)respectively. ... Figure 4: Resultsfrom the existing SpaceCarving algorithm using different

12 Jan 2010: 21 0.78464 1.10 1.05 0.47 0.75 0.10 0.54 0.05 0.55465 0.95 1.18 0.24 0.96 0.02 0.68 ... 70 0.22 0.54 0.19 0.54all 1.24 0.83 0.19 0.62 0.01 0.48 0.01 0.47.

23 Apr 2024: More recently, Leong et al. [24] use a variational autoencoder(VAE) [20] to learn latent DXA encoding, and map 3DO scans to pseudo-DXA images. ... Mean bias was 0.24 (6.7; 6.2)% for percentage body fatand for the other body composition metrics, the mean

16 Sep 2003: MPron 6447 8.97 9.65 9.33SPron1 6419 9.05 9.95 9.53SPron2 6425 9.33 9.93 9.64SPron3 6486 9.65 10.95 10.24. ... Discriminative pronunciation selection. Cambridge UniversityEngineering Department. EARS STT Meeting Martigny 2003 24.

30 Jan 2006: FaceDB100 64.1/9.2 73.6/22.5 58.3/24.3 17.0/ 8.8FaceDB60 81.8/9.6 79.3/18.6 46.6/28.3

21 Sep 2006: The average frame rate is 24.1 frames per second(fps)). That is to say, the system can run inreal-time.

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