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  1. Results that match 1 of 2 words

  2. Recent Improvementsin the CUED CTS SU System M. Tomalin ...

    mi.eng.cam.ac.uk/research/projects/EARS/pubs/tomalin_mar05mde.pdf
    28 Apr 2005: Error Analysis. c.200 DEL errors analysed by hand:. • 40.7 %: before asyndetic clause boundaryEx: they destroyed all the national monuments () he destroyed a large area. • ... c.200 INS errors analysed by hand:. • 26.2 %: before potential
  3. 8 Aug 2005: 400 200 0 200 4000. 0.01. 0.02. 0.03. 0.04. 0.05. 0.06. ... 100 0 100 200 3000. 0.02. 0.04. 0.06. 0.08. x. p(x).
  4. A single-frame visual gyroscope Georg Klein and Tom…

    mi.eng.cam.ac.uk/reports/svr-ftp/klein_drummond2005BMVC.pdf
    14 Sep 2005: Here it is set to 640 pixels. 0 200 400 600 800 10000. ... 50. 100. 150. 200. 250. position. inte. nsi. ty. Maximalgradient ramp5.
  5. Recent Improvements in the CUED DiarisationSystem Sue Tranter, Rohit…

    mi.eng.cam.ac.uk/research/projects/EARS/pubs/tranter_mar05mde.pdf
    26 Mar 2005: 0 200 400 600 800 1000 12000. 0.5. 1. 1.5. 2.
  6. An Illumination Invariant Face Recognition System forAccess Control…

    mi.eng.cam.ac.uk/reports/svr-ftp/oa214_BMVC_2004_paper1.pdf
    8 Aug 2005: Figure 2:Parallax used to cluster input face images (a). The distributions ofη (1) for the three clusters, computedfrom 200 manually labelled frames is shown in (b). ... 20. 40. 60. 80. 100. 120. (a) (b). 0 100 200 300 400 500 600 700 800 900 10000.
  7. Learning New Articulator Trajectories for a Speech Production…

    mi.eng.cam.ac.uk/reports/svr-ftp/auto-pdf/blackburn_icnn95.pdf
    9 Aug 2005: de. f1. f2. 0 100 200. 0.4. 0.2. 0. 0.2. 0.4. ... 0 200 400 600 800 1000. 1.5. 2. 2.5. Training epochs.
  8. A Modular Q-Learning Architecture for Manipulator Task Decomposition…

    mi.eng.cam.ac.uk/reports/svr-ftp/auto-pdf/tham_ml94.pdf
    9 Aug 2005: Successes. Collisions. Figure 4: Performance improvement with training. In thefirst 200 cycles, only the three elemental tasks were pre-sented to the agent. ... During the first 200 cycles, the Q and gating modules wereupdated in every time-step.
  9. COMBINATION OF WORD-BASED AND CATEGORY-BASED LANGUAGEMODELS T.R.…

    mi.eng.cam.ac.uk/reports/svr-ftp/auto-pdf/niesler_icslp96.pdf
    9 Aug 2005: 0 2 4 6 8 10 12. x 106. 150. 200.
  10. 9 Aug 2005: 600. 700. 800. 900. 1000. 0 100 200 300 400 500 600 700 800 900 1000. ... 200. -100. 0. 100. 200. 300. 500 1000 1500 2000 2500 3000 3500 4000.
  11. 9 Aug 2005: 0 50 100 150 200 250 3000.5. 0.4. 0.3. 0.2. 0.1. ... 3 'I24G1G 200& % Q "! "V4 -""## R V& '&1 &_ { #& ). % #. 22G0! R ' A $& 24G1G00/ Z' 0 & ,( ", )J, 8# #. ' $& $ C < ,B(1 @,#$ /3 //. , (( -( , (Q &M ( "& C((24G1G2.
  12. 9 Aug 2005: y (k. Hz). 20 40 60 80 100 120 140 160 180 200 2201. ... Frame. Freq. uenc. y (k. Hz). 20 40 60 80 100 120 140 160 180 200 2201.
  13. The Cambridge University March 2005 Speaker Diarisation System R. ...

    mi.eng.cam.ac.uk/reports/full_html/sinha_eurospeech05.html/paper.pdf
    22 Sep 2005: 0 200 400 600 800 1000 12000. 0.5. 1. 1.5. 2.
  14. TPAMI0110-0304-1 1..13

    mi.eng.cam.ac.uk/reports/svr-ftp/williams_pami2005.pdf
    20 Apr 2005: In some of the experimental sequences,the displacement expert loses track. On these occasions, theRMS error becomes meaningless (being wrong by 100 pixelsis no better or worse than 200 pixels). ... These results were taken from tracking a 200 frame
  15. 9 Aug 2005: 0 1000 2000 3000 4000 5000 6000 7000 8000300. 200. 100.
  16. 9 Aug 2005: A4 68@BH0. LP(10) Residual. -500. 0. 500. 100 200. LP(10) Residual Spectrum. ... 2000. 100 200. NLP(10-2) Residual. -500. 0. 500. 100 200. Original Spectrum.
  17. 9 Aug 2005: True. Pos. itive. Rat. e. ROC curve for diphone bee for female speaker.0 50 100 150 200 250 300.
  18. A Face Recognition System for Access Control using Video ...

    mi.eng.cam.ac.uk/reports/svr-ftp/arandjelovic_PR06.pdf
    21 Dec 2005: 2000. 2500. 3000. (b) Original clusters. 0 100 200 300 400 500 600 700 800 900. ... tio. (a) Raw estimate. 0 100 200 300 400 500 600 700 800 900 10000.
  19. 9 Aug 2005: log. spec. trum. ÐA[_nZGaIlhji[WcVfjap]VQds]£9apVQ! CxQ$agZ rappjiZmW1xnLÂf]bU$xnxnZGap]Mq@xn[haLº. 0 50 100 150 200 250 300 350 400 450 5000.
  20. SENSORLESS FREEHAND 3DULTRASOUND IN REAL TISSUE: SPECKLE…

    mi.eng.cam.ac.uk/reports/svr-ftp/gee_tr510.pdf
    10 Jan 2005: beef2 distance (mm) 0.085 0.006 0.246 0.012 0.403 0.020tilt (deg) 0.152 0.055 0.164 0.148 0.200 0.268yaw (deg) 0.045
  21. 9 Aug 2005: 0.1. 1. 10. 100. 1000. 50 100 150 200 250 300 350 400 450 500. ... 10. 100. 1000. 50 100 150 200 250 300 350 400 450 500.
  22. � � ��� � � ����� � � � ...

    mi.eng.cam.ac.uk/reports/svr-ftp/auto-pdf/kadirkamanathan_icassp92.pdf
    9 Aug 2005: 200. |300. |400. |500. |600. |700. |800. |900. |1000. |0.08. |0.09. ... r Var. iance. RAN-EKF-1 RAN RAN-EKF. |0. |100. |200. |300. |400.
  23. 9 Aug 2005: 8h n )? < =@A An < ="!$#? =?8h@A4: <&% (' h <?),(' =,'. -. /. 0 200 400 600 800 1000 1200 1400500. 1000. ... 0 100 200 300 400 500 600 700 8000. 0.05. 0.1.
  24. 9 Aug 2005: V. 0 50 100 150 200 250 3000.5. 0. 0.5. 1. ... 0.5. Cycle number. Mod. el Y. 0 50 100 150 200 250 3000.4.
  25. 24 Jan 2005: 1. 1.5. Time (µs). Sig. nal v. alue. (a). RealImag. 20 10 0 10 200. ... RealImag. 20 10 0 10 200. 5. 10. 15. 20. Frequency (MHz).
  26. � ���� � � � � � � � ...

    mi.eng.cam.ac.uk/reports/svr-ftp/auto-pdf/leggetter_icslp94.pdf
    9 Aug 2005: DZY[S"]$0/B!)_5>OC$>/3N@P(#(G $%Ea (b(#(c(GU%=de =".".>!%=SP(]/8$! "#"# $&%:.<=O6!fX;?4$A>9$6H. 0 100 200 300 400 500 600 0.
  27. 9 Aug 2005: 0.2. 0.25. 0.3. iterations number. " # $, %'&0!)5-$-AD 0 50 100 150 200. ... 0.4. 0.6. 0.8. 1. iterations number. ")$#,.A!62H/C>$F>$ "5&&%=/F#0 50 100 150 200.
  28. 9 Aug 2005: 9. 0 50 100 150 200 2500. 50. 100. 150. 200. Input to mapping.
  29. 9 Aug 2005: 140. 160. 180. 200. 220. 240. 260. Degree of corruption. Per.
  30. 9 Aug 2005: 0.6. 0.8. 1. 0 50 100 150 200 250 300. Fully ConvergedFully Converged. ... 0.2. 0. 0.2. 0.4. 0.6. 0.8. 1. 0 50 100 150 200 250 300.
  31. 9 Aug 2005: 0 2 4 6 8 10 12 14 16 18 200.
  32. 9 Aug 2005: 0 50 100 150 200 250 3000. 2. 4. 6. 8.
  33. 9 Aug 2005: ìRªi-URÒns«Ð¥]. 0 50 100 150 200 2500.02. 0. 0.02. 0.04. ... 10. 5. 0. 5. 10. 15. 20. #% ,!&. 0 50 100 150 200 2500.1.
  34. 9 Aug 2005: CT = 500. CT = 350 CT = 200. CT = 100.
  35. 9 Aug 2005: With coarticulationNo coarticulation XRay trace. 150 200 250 30012. 10. 8.
  36. 9 Aug 2005: 105. 05. 10. 0. 5. 10. 15. 200. 10. 20. 30. ... c. 105. 05. 10. 0. 5. 10. 15. 200. 0.05. 0.1.
  37. 9 Aug 2005: e7XW.-E<E8i0. /,<EnYnYWbd+Di=WY06.;n[=i/n h-T <. =7]< iG,Wb,sWY:jh-7X<(M! l! bO5. l=l. 0 50 100 150 200. ... N J Y NPL0TMOUK VW ]aNTT NPQ XSTKMOQ #TT]aNKMLOU[##T0 50 100 150 200.
  38. 9 Aug 2005: n2 ZW6WBy6r3n#89 7yYyY9S qpx[C;By#Br:Òy# 8yYpÑAn8Yx[:6yØnr3p 8yAn8Yx[:6yBiÙron r Bn8nx5n2<mi. }8}. ¢Ï8. 0 200 400 600 800 1000 1200 14000. ... B. « m- ¢ a¡¡ 8¢Ï¢ Y¡-¢cmm¢km¢. " " "# () ,. 0 100 200 300 400 500 600 700 800 900 10000.
  39. 9 Aug 2005: XZY[]_acbd[egfihkjmlonqp'jmlsrt]gfZfZeulI[vbw]yxzx{0p|cb+]gfZcj[. Training Data Test Data. |0. |100. |200. |300. |400. |500. ... C. lass. ific. atio. n E. rror. %. |0. |100. |200.
  40. 9 Aug 2005: CAMBRIDGE UNIVERSITYENGINEERING DEPARTMENT. "!#$&%$'() ,-! /0-1"),-2 3# 4(57698 :<;-6>=;?A@B7CED>FHGI?J=KBMLONPBQLBQLR:SUT8#;; )#!VR%$W2%X4(VR,YHZ[]. GI_O7;ab;2=c d<Dc2e7eQf. g BMab>=W?h:<i7;UjILR?A7;=KCP?A@lknmoL>i7?JL>;;2=W?JL>iqp;rBM=W@Wa";Ls@t+=u
  41. Variable-length category-basedn-grams for language modelling T.R.…

    mi.eng.cam.ac.uk/reports/svr-ftp/auto-pdf/niesler_tr215.pdf
    9 Aug 2005: CT = 500. CT = 350 CT = 200. CT = 100.
  42. 9 Aug 2005: #"$ %&('),-. /1032!054507698;:<:>=@?3A07BC05DFEHGJILKM?7N;O3P,BC05QRETS78VUWUHNVKX Y[Z]<_@ab_ cWdeRfJabfJg ih7j3kFlmnZ]oqpVhngo]osrtd>jvug wyx;Zzp;{@fFu|}C FjVR. MV@tMt>vM tMbJ fJvgbdwfJtd_cn{Z]nfJf<Z]V{VjvRnZ]Mf<abZd_ cugw(xVZqpV{f@jvugwyx;ZqpV{@fFu
  43. 9 Aug 2005: mea YySUQR a&UbSW3P TVySa [)R TFT,moU dqU[ :b$TEdq[VaijSabgY X3aR. (. ;. 5 vK < :H 8;K < :H. 0 200 400 600 800 1000 12000.
  44. 9 Aug 2005: Nod. e O. utpu. t. Output Weight = -1.478. 0 200 400-1. ... A. 0 100 200-1. 0. 1. Sample No. Ampl. itude. Original Speech.
  45. 9 Aug 2005: f(x. ). RAN-NO RAN RAN-EKF. |0. |40. |80. |120. |160. |200. ... RM. SE. RAN-NO RAN RAN-EKF. |0. |40. |80. |120. |160. |200.
  46. 9 Aug 2005: 200,000 patterns were held out for cross-validation).
  47. 9 Aug 2005: MFCC #1. 0 50 100 150 200 250 300 350 400 450 500. ... MFCC #2. 0 50 100 150 200 250 300 350 400 450 500.
  48. Article Submitted to Computer Speech and Language Automatic…

    mi.eng.cam.ac.uk/reports/svr-ftp/auto-pdf/kim_csl04.pdf
    9 Aug 2005: Article Submitted to Computer Speech and Language. Automatic Capitalisation Generationfor Speech Input. JI-HWAN KIM & PHILIP C. WOODLAND. Cambridge University Engineering Department,Trumpington Street, Cambridge, CB2 1PZ, UK. jhk23,pcw
  49. 9 Aug 2005: Laplace. Gaussian. -30 -20 -10 0 10 200. 0.02. 0.04.
  50. The Cambridge University March 2005 Speaker Diarisation System R. ...

    mi.eng.cam.ac.uk/reports/svr-ftp/sinha_eurospeech05.pdf
    23 Jun 2005: 0 200 400 600 800 1000 12000. 0.5. 1. 1.5. 2.
  51. 9 Aug 2005: 0 100 200 300 400 500 600 0. 1. 2. 3.

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