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27 Jul 2020: G.M. Treece and A.H. Gee. 24 April 2014. The local structure of the proximal femoral cortex is of interest since both fracture risk, and the effects of various interventions

27 Jul 2020: In the March 2001 Hub5 evaluation the CU-HTK system achieved an overall word error rate of 24.6%, which was the lowest word error rate by a statistically significant margin. |

12 May 2003: Belongie,J. Malik, and J. Puzicha. Shapematchingandobjectrecognitionusingshapecontexts. IEEE Trans.PatternAnalysisand Machine Intell., 24(4):509–522,April 2002.

1 Jan 2024: axle. s (. 80). bush pins (16). plates (46). 127 beams (24)o.

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.

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.

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.

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

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.

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.

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

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

25 Oct 2000: 7] M.A. FischlerandR.C.Bolles.Randomsampleconsensus:A paradigmfor modelfitting with applicationsto imageanalysisandautomatedcartography. CACM, 24(6):381–395,June1981. [8] R.I.

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

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.

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

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.

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

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.

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

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.

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.

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

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

9 Aug 2005: One wayto make a fair comparison is to compare the “merged” SLPMsystem with a system that has 24 Gaussians per state. ... However,data sparseness causes the 24 Gaussians-per-state system to beover trained and its WER on the test set is 39.7% which is

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.

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%.

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.

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.

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.

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

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

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

8 Aug 2005: 01. 20. 24. 2.5. 2. 1.5. 1. 0.5. 0. 0.5. 1. ... In Proc. IEEE European Conference onComputer Vision, pages 3–19, 2002. [24] G.

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,

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

9 Aug 2005: For testing we chose the coreset. It consists of 192 utterances from 24 different speakers not in-cluded in the training set. ... JASA, 24:175–184, 1952. [11] Tony Robinson. Dynamic Error Propogation Networks.PhD thesis, Cambridge University

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.

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.

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.

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.

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.

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 Oct 2007: SystemData bcmdev05. Select. ML MMI MPE. S0 — 29.2 26.7 25.3S1 — 26.1 23.3 21.8S2a — 27.7 25.9 24.7S2b CN08 27.9 25.8 ... 8S3a — 27.7 — 24.8S3b CN08 28.0 — 24.7.

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

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.

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

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.

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.

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.