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  1. Results that match 1 of 2 words

  2. D:/docs/reports/tech_17/tech_17.dvi

    mi.eng.cam.ac.uk/reports/svr-ftp/treece_tr691.pdf
    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.
  3. paper-mdeval-v19_revised.dvi

    mi.eng.cam.ac.uk/reports/svr-ftp/tomalin_rt04.pdf
    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
  4. HYBRID SYSTEMS FORRECONSTRUCTION OF FREEHAND 3D ULTRASOUND DATA R. ...

    mi.eng.cam.ac.uk/reports/svr-ftp/housden_tr574.pdf
    30 Mar 2007: In theplane of the images, the offset is found using standard image registration and motion trackingtechniques [2, 24].
  5. TALKING TO MACHINES (STATISTICALLY SPEAKING) Steve Young Cambridge…

    mi.eng.cam.ac.uk/reports/svr-ftp/SJYoung_ICSLP02.pdf
    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
  6. A PRACTICAL PERCEPTUAL FREQUENCY AUTOREGRESSIVE HMMENHANCEMENT SYSTEM …

    mi.eng.cam.ac.uk/reports/svr-ftp/auto-pdf/logan_icslp98.pdf
    9 Aug 2005: 18 128 23.6 20.1 21.7 27.6 23.2256 18.7 16.5 18.9 23.9 19.5512 18.1 15.5 18.1 24.2
  7. How Does the Femoral Cortex Depend onBone Shape? A ...

    mi.eng.cam.ac.uk/reports/svr-ftp/gee_tr704.pdf
    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
  8. This page has been left blank. SPOKEN DOCUMENT RETRIEVAL ...

    mi.eng.cam.ac.uk/reports/svr-ftp/johnson_trec9.pdf
    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.
  9. paper563_final.dvi

    mi.eng.cam.ac.uk/reports/svr-ftp/thayananthan_eccv06.pdf
    14 Sep 2006: IEEE Trans. Pattern Analysis and Machine Intell., 24(4):509–522,April 2002. 5. M. ... Journal of Computer Vision, 48(1):9–19, June 2002. 24. J. Vermaak, A.
  10. DYNAMIC RESOLUTION SELECTIONIN ULTRASONIC STRAIN IMAGING J. E.…

    mi.eng.cam.ac.uk/reports/svr-ftp/lindop_tr566.pdf
    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.
  11. 3D ELASTOGRAPHYUSING FREEHAND ULTRASOUND J. E. Lindop, G. M. ...

    mi.eng.cam.ac.uk/reports/svr-ftp/lindop_tr531.pdf
    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. Volume-based three-dimensionalmetamorphosis usingregion…

    mi.eng.cam.ac.uk/reports/svr-ftp/treece_tr379.pdf
    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
  13. 3D ultrasound examination of large organs G.M. Treece, R.W. ...

    mi.eng.cam.ac.uk/reports/svr-ftp/treece_tr367.pdf
    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.
  14. 9 Aug 2005: 67 "#. @"# "5 8 ,"#0.@% #=24! #"5 $ % "#'"#! 8 24! 5"#A % "5'?"# ,"# =24. @ '?24,%. "#6. % "#'"#!( %<'" #9 =":9- 2. ... le2 22,. z q! % ,>- %<'! "! "# %<' %<?'. "#< ,"# #"#$ % "#'" 7 %?'. '! '? %<' ,"#. ) %<' 6'1 A( ), -2 01 '9;! "# & (&), - 24! '!"#:
  15. K. Yu, M.J.F. Gales and P.C. Woodland Cambridge University ...

    mi.eng.cam.ac.uk/research/projects/AGILE/publications/yu-interspeech07.pdf
    10 Oct 2007: ML MPE ML MPE. S0 15.1 13.6 29.3 25.40.00 13.8 12.0 27.7 24.80.80 13.5 11.7 26.9 ... Conf. bnmdev06 bcmdev05Thresh. ML MPE ML MPE. 0.00 13.8 12.0 27.7 24.80.76 13.6 11.8 27.5 24.30.80 13.5 11.7
  16. High resolution cortical thickness measurement from clinical CT data…

    mi.eng.cam.ac.uk/reports/svr-ftp/treece_tr634.pdf
    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.
  17. IMPLEMENTATION OF AUTOMATIC CAPITALISATIONGENERATION SYSTEMS FOR…

    mi.eng.cam.ac.uk/reports/svr-ftp/auto-pdf/kim_icassp02.pdf
    9 Aug 2005: The difference between WER in punctuation gener-ation and that in capitalisation generation is measured as 0.24.
  18. Semi-supervised Learning of Joint DensityModels for Human Pose…

    mi.eng.cam.ac.uk/reports/svr-ftp/navaratnam_semi_supervised.pdf
    14 Sep 2006: ln = 40.80RMS= 24.85. ln = 78.35RMS= 26.56. ln = 98.72RMS = 12.67. ... ln = 30.47RMS= 13.12. ln = 54.29RMS= 24.98. Figure 6:Pose Detection:This illustrates results from applying the GMM learnt from 8k marginaland 2k joint data points with 50
  19. 9 Aug 2005: 23.5. 24. 24.5. 25. 25.5. 0 2 4 6 8 10 12 14 16 18 20. %
  20. paramStudy_V_(TechR).dvi

    mi.eng.cam.ac.uk/reports/svr-ftp/Shin_TR600.pdf
    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.
  21. Machine Intelligence Laboratory

    mi.eng.cam.ac.uk/Main/GMTPublications
    Pattern Recognition Letters. Vol. 24, No. 4-5, pp. 705-713, 2003. G. ... Vol. 24, S1, pp. S293-S294, April 2016. T. Turmezei, K. Poole, G Treece.
  22. Clinically Practical Freehand Three-Dimensional Ultrasound

    mi.eng.cam.ac.uk/research/projects/cp3dus/
    22 Jul 2010: Achievements. Freehand RF 3D ultrasound acquisition. We have successfully developed the real-time, RF 3D ultrasound acquisition system [24]. ... 24] G. Treece, R. Prager and A. Gee. Freely available software for 3D RF ultrasound.
  23. Machine Intelligence Laboratory

    mi.eng.cam.ac.uk/Main/AHGPublications
    Ultrasound in Medicine and Biology, 24(6):841-854, July 1998. R. Rohling, A. ... Osteoarthritis and Cartilage, 24(S293-S294), April 2016. T.D. Turmezei, A.H. Gee, K.E.S.
  24. Unsupervised Bayesian Detection of Independent Motion in Crowds…

    mi.eng.cam.ac.uk/reports/svr-ftp/brostow_MotionInCrowdsCVPR06.pdf
    14 Sep 2006: 24, 18]. Both systems group an image’sspatial features, performing a global annealing optimizationthat propagates the certainty at distinct person-boundaries touncertain areas where those people’s outlines are ambigu-ous. ... 24] P. Tu and J.
  25. Improving Retrieval on Imperfect Speech Transcriptions

    mi.eng.cam.ac.uk/reports/full_html/jourlin_sigir99.html/
    8 Mar 2000: HTK. ATT. Dragon. Base1. Sheff. Base2. DERA. WER. 24.8. 31.0. 29.8.
  26. 9 Aug 2005: #"$%&')(,-.%%&( 0/-#1""324%5/246"78&9:5. ;<8<'7>=@?9A@BA@BDCE<8F@<'8=HGIBDJK=B&L>MNMNO>PQ'/I JRI =BSA@BDCT8=G>=UVI ONJW(XY=ZL@Q. "M>L[AXYU]M>BDU=>_8B?IBDMNM>XaIBD?HQ.BI bDM>XcJ4I Ued=>_#'A@]G[XaI C?@M. ;'&'f2#PI JL[A@L[M>XCMNJKO>XgI,G[MNJABDMNhA@i? @
  27. MultiMedia Document Retrieval (1997-2000)

    mi.eng.cam.ac.uk/research/projects/Multimedia_Document_Retrieval/
    7 Oct 2001: May 1998 - The TREC-7 Evaluation. The overall word error rate for our recognition system on the 100 hours of TREC-7 SDR data was 24.8%, the lowest in the
  28. LARGE SCALE DISCRIMINATIVE TRAINING FORSPEECH RECOGNITION P.C.…

    mi.eng.cam.ac.uk/reports/svr-ftp/woodland_asr00.pdf
    6 Nov 2000: Some discriminative training schemes, such as frame-discrimination [14, 24], try to over-generate training set con-fusions to improve generalisation. ... In [24] it was shownthat the improvements obtained by FD were at least as goodas those reported by
  29. The Cambridge University Spoken Document Retrieval System

    mi.eng.cam.ac.uk/reports/full_html/johnson_icassp99.html/
    8 Mar 2000: Sheffield. 39.8. 37.6. 37.1. 34.6. HTK-1. 28.6. 24.9. 24.7. 22.2. HTK-2. ... 24.1. 21.5. 21.2. 18.7. Table 3: Story-based % Word Error Rates for TREC-6 data.
  30. Two-way Cluster Voting to Improve Speaker Diarisation Performance

    mi.eng.cam.ac.uk/reports/full_html/tranter_icassp05.html/
    31 Mar 2005: full. 30.30. 19.94. 19.15. 32.06. 37.92. 10.74. 24.26. † St. diag. ... full. 24.31. 19.97. 12.75. 19.34. 22.77. 17.50. 19.09. † St. diag.
  31. The 1998 HTK Broadcast News Transcription System: Development and…

    mi.eng.cam.ac.uk/reports/full_html/woodland_darpa99.html/
    2 Mar 2000: F5. 24.4. 23.8. 21.4. 20.0. FX. 32.7. 32.7. 30.9. 30.9. Overall. ... 19.1. 17.2. 24.7. 30.9. P3. bg. 1/N. 19.1. 11.9. 20.4. 27.6.
  32. Experiments in Broadcast News Transcription

    mi.eng.cam.ac.uk/reports/full_html/woodland_icassp98.html/
    1 Mar 2000: 24.4. F5. 28.6. 23.8. 27.1. 26.5. FX. 58.5. 55.2. 56.8. 55.0. ... 39.6. 25.1. 37.2. F4. 24.1. 24.7. 24.5. 22.6. F5. 27.6. 25.8.
  33. Effects of Out of Vocabulary Words in Spoken Document Retrieval

    mi.eng.cam.ac.uk/reports/full_html/woodland_sigir00.html/
    14 Aug 2000: ID. BASE. BRF. UBRF. 3k. 22.2. 24.4. 33.3. 7k. 33.8. 37.5.
  34. The 1997 HTK Broadcast News Transcription System

    mi.eng.cam.ac.uk/reports/full_html/woodland_darpa98.html/
    1 Mar 2000: 24.6. F5. 28.6. 23.8. 27.1. 24.8. FX. 58.5. 55.2. 56.8. 55.4. ... 25.3. 29.0. 24.3. 28.1. F2. 38.3. 41.6. 35.7. 37.3. F3. 25.3.
  35. General Query Expansion Techniques for Spoken Document Retrieval

    mi.eng.cam.ac.uk/reports/full_html/jourlin_esca99.html/
    2 Mar 2000: Our retrieval system was run on 7 different sets of automatically transcribed broadcast news texts with a WER varying from 24.8% to 66.2%. ... The overall system gave a WER of 24.8% which corresponded to a Processed Term Error Rate [11] (which more
  36. The Development of the Cambridge University RT-04 Diarisation System

    mi.eng.cam.ac.uk/reports/full_html/tranter_rt04.html/
    10 Jan 2005: 22.4. 20.2. PLP. Y. -. Y. 25.4. 19.3. 27.9. 24.1. 24.3. ... 23.1. 24.3. 19.7 @ 2609. 5. 3. 16.7. 17.3. 24.3. 28.9.
  37. .poster_jeremy_v2.tex.dvi

    mi.eng.cam.ac.uk/UKSpeech2017/posters/j_wong.pdf
    17 Nov 2017: 207Vseparate 45.8 46.0 46.6MT 47.7 47.8 47.3MT-TS 45.7 45.7 46.3. AMIseparate 24.5 24.6 24.6MT 25.4 25.5 ... 25.1MT-TS 24.3 24.4 24.6.
  38. Segment Generation and Clustering in the HTK Broadcast News…

    mi.eng.cam.ac.uk/reports/full_html/hain_darpa98.html/
    1 Mar 2000: S. 0.56. 98.24. 1.20. T. 0.00. 1.19. 98.81. a). M. S.
  39. A Method for Direct Audio Search with Applications to Indexing and…

    mi.eng.cam.ac.uk/reports/full_html/johnson_icassp00.html/
    16 Jun 2000: Of the 110 seconds worth of news'' rejected by the system with shorter windows, 24 seconds was due to an interview with Bill Clinton being re-broadcast, and the rest was
  40. Spoken Document Retrieval for TREC-7 at Cambridge University

    mi.eng.cam.ac.uk/reports/full_html/johnson_trec7.html/
    30 Mar 2000: This system gave a word error rate of 24.1% on the TREC-6 test data. ... map. stop. stem. CUHTK. 24.8. 25.0. 24.9. 22.8. 22.3. Dragon. 29.8.
  41. The CUHTK-Entropic 10xRT Broadcast News Transcription System

    mi.eng.cam.ac.uk/reports/full_html/odell_darpa99.html/
    1 Mar 2000: Comparing Table 4 with Table 3 the advantage of including two passes can clearly be seen: on BNeval98 the error rate was reduced by 24% while the overall computation was increased
  42. Speaker Diarisation for Broadcast News

    mi.eng.cam.ac.uk/reports/full_html/tranter_odyssey04.html/
    14 Jun 2004: 9.1. 25.54. 29.7. 46.14. CU. MIT. 2.1. 2.5. 5.3. 24.23. 24.7. ... Adv. Seg. Clust. Score. Metric. NONE. CUED. MIT. 24.23. Primary. CUED_TDT4.
  43. Class-based language model adaptation using mixtures of word-class…

    mi.eng.cam.ac.uk/reports/full_html/moore_icslp00.html/
    2 Nov 2000: 225.85. 192.66. 224.24. 187.37. 1003. 250. 158.98. 151.15. 158.68. 149.37.
  44. Automa(c Analysis of Mo(va(onal Interviewing with Diabetes Pa(ents…

    mi.eng.cam.ac.uk/UKSpeech2017/posters/x_wei.pdf
    20 Nov 2017: Results:. Model Senone No. WER (%). Baseline DNN-‐HMM 3981 53.13. MI adapted DNN 3981 47.24. ... Hhit NF NREF PRC RCL. lium 35 144 93 0.24 0.38 ivector 42 159 93 0.26 0.45.
  45. 7 Oct 2001: 8;,=&"vZ$9V K)i!Zi9V ;)Î$9h ;& ;=!"p;) / -,H;&AP,!#P6 %S+[#( 24 )g(>@{7cPU(.( 7;'8;(! ... 9V @24 Ì ' $;S+[ -c.,=",=&8U - PU -"P7,=!)G,=&,=&,H&8g- / -( -,=,Hg",=-;' - -r( -,!K9$(-v> zXx}24 & -)g=![] Ç4',!
  46. PowerPoint プレゼンテーション

    mi.eng.cam.ac.uk/UKSpeech2017/posters/e_tsunoo.pdf
    3 Jul 2018: 24,000 fishermen a year. Mostly in storms. And not every country keeps accurate records.
  47. Future Word Contexts in Neural Network Language Models

    mi.eng.cam.ac.uk/UKSpeech2017/posters/x_chen.pdf
    17 Nov 2017: dev evalwords (w/s) PPL. ng4 - - 80.4 23.8 24.2uni-rnn - 4.5K 66.8 21.7 22.1. ... ng4 - 23.8 23.5 24.2 23.9uni-rnn - 21.7 21.5 21.9 21.7.
  48. Experimental Studies on Teacher-student Training of Deep Neural…

    mi.eng.cam.ac.uk/UKSpeech2017/posters/q_li.pdf
    20 Nov 2017: 22. 23. 24. 25. 26. 27. 28. 29. 30. PER. (%). 3-layer (100) Baseline3-layer (100) Student3-layer (250) Baseline3-layer (250) Student3-layer (500) Baseline3-layer (500) Student4-layer (500) ... PER (%)7-layer (500) 24.55 23.55RNN 23.84 20.59Ensemble 23.73
  49. LARGE SCALE MMIE TRAINING FOR CONVERSATIONAL TELEPHONE SPEECH…

    mi.eng.cam.ac.uk/reports/full_html/woodland_stw00.html/
    5 Oct 2000: The bigram 1-best hypotheses had a 24.6% word error rate (WER) and a Lattice WER (LWER) of 6.2%...
  50. Part Name Part Image Part Weight [mg] Electric, Motor ...

    mi.eng.cam.ac.uk/IALego/helicopter_files/helicopter_weights.pdf
    1 Jan 2024: 1300. Light Bluish Gray Technic, Gear 24 Tooth (New Style. with Single Axle Hole).
  51. The Cambridge University March 2005 Speaker Diarisation System

    mi.eng.cam.ac.uk/reports/full_html/sinha_eurospeech05.html/
    22 Sep 2005: The experiments reported in this paper use a development set of 24 US broadcast news shows, denoted.

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