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15 Feb 2005: 1/68.8 51.7/24.8/79.8. PFMbnrt04 v1.0 tg 49.7/15.4/68.6 50.2/15.0/68.5 56.7/19.2/79.8. ... 24.4/72.5 50.7/28.6/82.7. PFMbnrt04 v1.0 cl40-tg 49.1/17.1/68.3 49.4/21.2/74.6

19 Mar 2006: 24] P. S. Penev. Dimensionality reduction by sparsification in a local-features representation of human faces. ... Ross and A. Jain. Information fusion in biometrics.PatternRecognition Letters, 24(13):2115–2125, 2003.

22 May 2004: Togive an idea of the range of these N -best lists the oracle (best) er-ror rate on the tst data was 1.24% and the “idiot” (worst) errorrate was

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.

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.

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

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

20 Dec 1999: All the surfaces were generated by triangulating the zero iso-surface of the interpolateddistance fields, using regularised marching tetrahedra [24]. ... IEEETransactions on Biomedical Engineering, 45(4):494–504, April 1998. REFERENCES 24. [13] D.

10 Dec 2003: Results of pairwise system combination using CNC:. System A B C D23.0 23.6 23.4 24.8.

10 Apr 2000: Theoverall system gave a WER of 24.8% which corre-sponded to a Processed Term Error Rate [11] (whichmore closely represents the error rate as seen by theretriever) of 32.1%.

4 Aug 2009: is 24.8 mm. One crucial parameter that is missing from Table 1 is the electro-mechanical impulse response. ... 5.4 Width of the transducer elements. For this part of the study, we assume that the FOV and the number of elements are fixed at 24.8.

19 Sep 2006: 3b. A simple way of measuring the silhouette coherence using theconcept of visual hull [24] is. ... pp. 245–262, 2001. [24] A. Laurentini, “The visual hull concept for silhouettebased image understanding,”IEEE Trans.

8 Aug 2005: Weizmann Horse Dataset [24]We evaluated the performance of our detector on a verychallenging dataset of side-on horse images; this dataset hasbeen used for evaluating segmentation algorithms [2], butwe do ... training images, a benefit in both collecting

20 Oct 2003: D12DT12. ]1. D12 a (24). The Euclidean projection matrix E1 can then be rebuilt toexactly satisfy the constraint by.

9 Aug 2005: Figure 1: Variation in error at each of 24 network outputs over the course of the sentence “clear windows”. ... Figure 4 shows the MSE for both the (5,32,24) network trained on the original data and the.

23 Mar 2004: Eval03 with CU-HTK P1-P2 System. Overall Swbd Fisher Male Female. h5train03b LM03 24.6 28.7 20.2 25.7 23.5h5train03b LM03Fsh3896 23.9 28.2 19.3 ... 25.0 22.8fisher3896 LM03Fsh3896 23.1 27.0 18.9 24.6 21.6fisher3896h5 LM03Fsh3896 22.7 26.6 18.5 24.2 21.1.

9 Aug 2005: For networkswithout loops, message-passing rules can be used to com-pute MAP and MMSE estimates at each node [16, 24]. ... Int. Conf. on Com-puter Vision, volume 2, pages 722–729, 1999. [24] J.

12 May 2000: There are several techniques which can successfully generate this voxelarray from single sweeps [24]. ... Figure 1(a), forinstance, shows two sweeps from a liver examination which have been interpolated using thevoxel nearest neighbour [24] interpolation.

26 Apr 2000: Althoughvolume graphics (the storage and display of volumetric data as opposed to polygonal surfaces)has advanced considerably over the last decade [14, 24], most surfaces are still defined aspolygonal models, and ... the skeleton representation [2]and

24 Jul 2003: PFM N/A 24.88 43.98 54.61 123.47SULM bg N/A 81.30 6.32 3.56 91.19.

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

29 Jul 2001: Although significantly smallerthan that used by some other sites (e.g. 183k articles in [24]), inprevious work we found that increasing the parallel corpus sizeto approximately 110k articles did not help ... Proc. SIGIR ’99, pp. 34-41, 1999. [24] A.

26 Sep 2005: Uncertainty 1 4 16 256. an — 33.2. LICENo. 24.6 20.7 17.0 12.3CMLLR 16.3 15.3 12.8 13.5.

6 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.

10 Apr 2000: an Average Precision (AveP) of 55.88 obtained on referencetranscriptions, 55.08 on our own transcriptions (24.8% WER)and 44.15 on transcriptions from DERA [17] (61.5% WER) onthe ... high 39.97% 0.24% 54.65% 1.54%Slide low 59.41% 0.17% 68.35% 1.38%L=10s

16 Jan 2008: 2.2.2 Hidden conditional random fields (HCRFs). 24. 2.2.3 Parameter estimation for conditional models.

1 Jun 2000: 36. 23. 35. 24. 34. 25. 33. 26. 32. 27. 31. ... 19. 3. 20. 2. 21. 1. 2223. 36. 24. 35. 25.

8 Aug 2005: CS 4.38FL 14.8102RL 185.6105DL 0.08103. CS 4.14FL 8.7102RL 137.0105DL 0.06103. CS 3.49FL 24.94102RL 4.73105DL 5.27103. ... CS 3.07FL 27.88102RL 24.7105DL 1.126103. Figure 4: Hand template matching Rows show some of the images where using the data

14 Sep 2006: Pattern Analysis andMachine Intelligence, 24(6):748–763, 2002. [22] S. Obdržálek and J. ... ACM Siggraph, 2004. [24] Carsten Rother, Sanjiv Kumar, Vladimir Kolmogorov,and Andrew Blake.

9 Aug 2005: Wetrained feed-forward multi-layer percep-trons with 12 inputs, 30 hidden units,24 outputs and sigmoid non-linearitiesat the hidden units using resilient back-propagation (rprop) for 1000 batch updateepochs, ... RESULTSFigure 3 shows original and

1 Jul 2002: concept-state can itself be afinite state network[24]. ... 269–271. [24] S Miller, R Bobrow, R Schwartz, and R Ingria, “Statisticallanguage processing using hidden understanding models,” inProc Human Language Technology Workshop, Plainsboro,NJ, 1994

17 Feb 2006: 24]). Briefly, we estimate multivariate Gaussian components using the ExpectationMaximization (EM) algorithm [14], initialized by k-means clustering. ... appearance. IJCV, 14:5–24, 1995.34. S. Palanivel, B. S. Venkatesh, and B Yegnanarayana.

19 May 2005: sb(i, j)G(rb) (24). G(rb) =. Mr. m=1. λ(m)bb Gm (25). where sb(i, j) denotes the (i, j)th element of the bth basis ... SATDIAGC cmllr 25.8 17.8 21.9 17.9. SATSPAMcmllr+ 25.0 17.6 21.4 17.6cmllr 24.9 17.5 21.3 17.5.

9 Aug 2005: Standard - - - - 100.0 12.72Standard GS 1.6 - - - 24.1 12.75Single ring 1.6 4 - - 18.4 12.88. ... 1.9 3 - - 20.3 12.881.9 4 - - 24.3 12.46.

25 Feb 2019: AUCr =AUCmodel AUCradom. AUCoptimal AUCradom. (24). where AUCradom, AUCoptimal and AUCmodel represent thearea under the random, optimal and model back-off curvesrespectively.

13 Mar 2018: Comm. ACM, 24(6):381–395, 1981. [5] G.H. Golub and C.F. Van Loan, editors. ... Int. Journal of Computer Vision, 24(3):271–300,September 1997. [16] G. Xu and Z.

14 Mar 2006: 18] N. Vlassis and A Likas. A kurtosis-based dynamic approach to Gaussian mixture modeling.Systems, Max, and Cybernetics – Part A: Systems and Humans, 24(9):393–399, 1999.

29 Jan 2004: The LDS belongs to the subset of state space models called linear Gaussian models [24]. ... Alternatively, the derivation may bedone completely using properties of conditional Gaussian distributions and matrix algebra [24].

23 Nov 2003: 6] M.A. Fischler and R.C. Bolles.Random sample consensus: A paradigm for model fitting withapplications to image analysis and automated cartography.CACM, pages 24(6):381-395,June 1981.

13 Mar 2018: 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

28 Jan 2009: 22, 24, 25, 26]. ... Ultrasound in Medicine and Biology, 20(1):27–33,1994. 16. [24] H. Ponnekanti, J.

19 May 2014: 1) (2) (3) (4). (9)(8)(7)(6). (5). (24). Learned contour and texture.

13 Mar 2018: 95. Table 2: Feature definitions. Features 1-24 Differences of mean and standarddeviation features based on Yuilleand Chen box features. ... Features 24-82 Differences of mean and standarddeviation features of 18 blocks, de-noted as ‘Extended

10 Nov 2015: 24 Engineering Part IIB: 4F10 Statistical Pattern Processing. Feature-Space Example. Using the example from the previous slides where.

16 Nov 2007: 2.3 Limitations of HMMs for Speech Recognition 24. 2.3.1 Explicit Temporal Correlation Modelling 25.

4 Aug 2009: especially for in vivo applications may be addressed through blind deconvolution [23, 24, 25, 26,.

19 Mar 2008: 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

13 Mar 2018: Fortu-nately a number of efficient approximate algorithms havebeen proposed such as graph cuts [1] and belief propaga-tion [24]. ... 1194–1201. [24] J. Sun, H,-Y Shum, N.-N. Zheng, Stereo matching using beliefpropagation, in: Proceedings of ECCV, 2002,

26 Nov 2004: s. ln f1. (24). This new technique potentially allows the estimation of attenuation in tissues which have differentscatterer types. ... Pattern Recognition Letters 24 (4–5),705–713. A MONOTONIC REGRESSION 19. Taxt, T., Jul.

21 Sep 2006: 24] and for exem-plar templates by Toyama and Blake [43]. However, it is acknowledged that“one problem withexemplar sets is that they can grow exponentially with object complexity. ... We take inspiration from Jojicet al.[24] whomodeled a video