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  1. Results that match 1 of 2 words

  2. 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? @
  3. BN-E Experiments in Cambridge Do Yeong Kim, Mark Gales, ...

    mi.eng.cam.ac.uk/research/projects/EARS/pubs/kim_sttmar05.pdf
    12 Apr 2005: 302k 9k+ 16.0 13.9 24.8 –MLE 415k 9k+ 16.0 13.5 24.3 –. 398k 12k+ 16.1 13.6 24.5 –. 302k 9k+ 13.2 11.2 ... dev04 eval03 dev04f. MLEMPron 16.0 13.6 24.5SPron 15.6 13.5 24.2. MPEMPron 12.9 11.1 19.1SPron 12.7 10.8 18.8.
  4. 15 Jun 2005: α0. 24 1(1)(2). 35 = α0w = nXi=1. αsvmi yiG1(oi; ) (22). ... O; )). 375 (24)This allowsβ to be set using maximum margin training. Howeverempirically settingβ has a number of advantages.
  5. 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.
  6. Progress in English Conversational TelephoneSpeech Transcription Khe…

    mi.eng.cam.ac.uk/research/projects/EARS/pubs/sim_sttmar05.pdf
    12 Apr 2005: S1 6K (28)0. 34.1 26.0 30.2 26.4S4 9K (36). (ML)33.0 24.8 29.0 25.3. ... 32.3 22.9 27.8pMPEMPE 35.1 26.0 30.7 33.2 24.1 28.8 32.9 23.6 28.4.
  7. 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.
  8. The Development of the Cambridge UniversityRT-04 Diarisation System…

    mi.eng.cam.ac.uk/research/projects/EARS/pubs/tranter_rt04.pdf
    15 Feb 2005: 18.5. 19. 19.5. 20. mea. n D. ER. on. all. 24 d. ... RT-04f RT-04f RT-04f 23.86 24.12† Official evaluation submission. • New segmenter and clusterer resulted in 14% absolute drop in primary DER. •
  9. 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.
  10. Recent Improvements in the CUED DiarisationSystem Sue Tranter, Rohit…

    mi.eng.cam.ac.uk/research/projects/EARS/pubs/tranter_mar05mde.pdf
    26 Mar 2005: 12.5. 13. 13.5. 14. 14.5. 15. SID Threshold. Dev. (24. sh. ... 11. 11.5. 12. 12.5. 13. SID Threshold. Eva. l (24. sh.
  11. INVESTIGATION OF ACOUSTIC MODELING TECHNIQUES FOR LVCSR SYSTEMS X. ...

    mi.eng.cam.ac.uk/reports/svr-ftp/liu_icassp2005.pdf
    19 May 2005: Systemeval03. dev04s25 fsh Avg. P2-cn HLDA 26.6 18.4 22.6 18.7. P3a-cn SAT 24.5 17.1 20.9 17.3P3c-cn SPron 24.7 ... cn SPAM 24.1 16.9 20.6 17.2P3h-cn SATSPAM 23.9 16.9 20.5 16.8P3i-cn CTRL 24.5 17.5 21.1 17.6.
  12. Recent Developments at Cambridgein Broadcast News Transcription D.Y.…

    mi.eng.cam.ac.uk/research/projects/EARS/pubs/kim_rt04.pdf
    15 Feb 2005: 0.16 0.18 0.2 0.22 0.24 0.2612. 14. 16. 18. 20. 22. ... Cambridge UniversityEngineering Department. RT04 EARS workshop 24. Recent Developments at Cambridge in Broadcast News Transcription.
  13. TWO-WAY CLUSTER VOTING TO IMPROVE SPEAKER DIARISATION PERFORMANCE S.…

    mi.eng.cam.ac.uk/reports/svr-ftp/tranter_icassp05.pdf
    25 Mar 2005: shows. The DER is 24.16%(28.05%) if the best(worst) input istaken independently for each show. ... true reference speakers, so when scoringagainst the reference, the supergroups may no longer be treated indepen-dently thus dramatically increasing the
  14. Advances in Structural Metadata for RT-04 atCUED M. Tomalin ...

    mi.eng.cam.ac.uk/research/projects/EARS/pubs/tomalin_rt04.pdf
    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
  15. THE DEVELOPMENT OF THE CAMBRIDGE UNIVERSITY RT-04 DIARISATION SYSTEM…

    mi.eng.cam.ac.uk/reports/svr-ftp/tranter_rt04.pdf
    10 Jan 2005: show. (b) Mean DER across all 24 development shows whenonly including c0 in clustering if the mean value is above a criticalthreshold. ... RT-04 RT-04 RT-04 23.86 24.12. Table 12. Progress since RT-03s on theeval04f data.
  16. Learning New Articulator Trajectories for a Speech Production…

    mi.eng.cam.ac.uk/reports/svr-ftp/auto-pdf/blackburn_icnn95.pdf
    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.
  17. 8 Aug 2005: Both, centretemplateandmarginalizedtemplateshow betterclassificationperfor-mancethanthe trainedclassifier, in particular in the high detection range.At de-tectionratesof 0.99 thefalsepositive ratefor thecentretemplateis 0.24, wherasitis 0.64for
  18. THE DEVELOPMENT OF THE CAMBRIDGE UNIVERSITY RT-04 DIARISATION SYSTEM…

    mi.eng.cam.ac.uk/reports/full_html/tranter_rt04.html/paper.pdf
    10 Jan 2005: show. (b) Mean DER across all 24 development shows whenonly including c0 in clustering if the mean value is above a criticalthreshold. ... RT-04 RT-04 RT-04 23.86 24.12. Table 12. Progress since RT-03s on theeval04f data.
  19. 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! '!"#:
  20. Contour-Based Learning for Object Detection Jamie ShottonDepartment…

    mi.eng.cam.ac.uk/reports/svr-ftp/shotton_iccv05.pdf
    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
  21. 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.
  22. PSEUDO-ARTICULATORY SPEECH SYNTHESIS FOR RECOGNITIONUSING AUTOMATIC…

    mi.eng.cam.ac.uk/reports/svr-ftp/auto-pdf/blackburn_icslp96.pdf
    9 Aug 2005: The 16kHz speech was then parameterisedinto 24-dimensional Mel-frequency log spectral coefficients and 12-.
  23. 9 Aug 2005: 9 24 r24@&:$"fc!eC<<c (. %=. (.r2>< (5"< ; "9.( 0=& (!"f"5.-&86. (%= ... 7' n" (."#"<$ "< g" < (| &!ihj ( (!"|.$: ". E. "|c% } :=p &86 #.<2>.c"< # /.".)6 ><$ n"<$ 24!m (eY2K (12>< / "<$.
  24. Learning over Sets using Boosted ManifoldPrincipal Angles (BoMPA)…

    mi.eng.cam.ac.uk/reports/svr-ftp/oa214_BMVC_2005_paper1.pdf
    10 Jul 2005: Afterautomatic localization using a cascaded detector [24] and cropping to the uniform scaleof 5050 pixels, images of faces were histogram equalized, see Figure 6. ... 24] P. Viola and M. Jones. Robust real-time face detection.IJCV, 57(2):137–154, 2004.
  25. An information-theoretic approach to facerecognition from face motion …

    mi.eng.cam.ac.uk/reports/svr-ftp/oa214_IVC_2005_paper1.pdf
    12 Jul 2005: In this work, FMMs are synthetically repopulated in a manner that achieves bothhigher manifold sample density, as well as some generalization to unseen modesof variation (see work by Martinez [24], and ... 24] A. M. Martinez, Recognizing imprecisely
  26. 9 Aug 2005: model, and is calculated using. - : 2#4?5@7>.,8(L O 2-). 2#4?5@7>.,88(e O -)0;2#4?5@7>.I8 (24).
  27. 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: 15. 16. 17. 18. SID CLR Threshold. Dev. 24 D. ER. ... Seg. men. t Im. pu. rity. on. dev. 04 (. 24 s.
  28. � ���� � � � � � � � ...

    mi.eng.cam.ac.uk/reports/svr-ftp/auto-pdf/leggetter_icslp94.pdf
    9 Aug 2005: #"$%&'(),""%-'"/.#-01('/-"2(3 4/0"5('65"879('%%(;:1'5<>=?@;ACBED #FD.
  29. Sensor Fusion and Occlusion Refinement for Tablet-based AR Georg ...

    mi.eng.cam.ac.uk/reports/svr-ftp/klein04tablet.pdf
    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.
  30. 9 Aug 2005: A@/! M$1FGq@/(r-5n&&G L!O 1c6GZs M1FC!(D.GIC51( F./1(./M&-5!Ct@!C!1 ( Z)6(3I8suFvw!4.C! Z1( n1X) 1(T ATC @! '? 24
  31. Face Recognition from Face Motion Manifolds using Robust…

    mi.eng.cam.ac.uk/reports/svr-ftp/oa214_FPIV_2004_paper1.pdf
    8 Aug 2005: 6] M. A. Fischler and R. C. Bolles. Random sample consen-sus: A paradigm for model fitting with applications to imageanalysis and automated cartography.IEEE Transactions onComputers, 24(6):381–395,
  32. 9 Aug 2005: 2 f > f 35350 J<?L t'g<] e ]25342 gn h' [ <h'h <k% l e%f s<?]lxgk e 24<0l. ... 35 n J<?gh'l>lL2q0@ ' [ < f t_<?00 f 2' >'g#e[[ 35 e 24<0Nt e e,f / / l. (&)
  33. 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
  34. 9 Aug 2005: Equality at. A : From (24) we find thatf 4 A 6 j 4 d 6. ... 3. Equality of the first derivative at A : From (24) we find that.
  35. 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
  36. 9 Aug 2005: 5 "_U#x! @#24)# $S9$M8$s!@P.6 [0!iIJ0!nU#C9$rrr. K=0!3&t(m;6tm$ 01.T$_]! 5' N-a! 3! 'T$0/k)! ... BC],0M01@"NM $A. #24) $-95l84+#24 1I{0!6A ¤!iv30M0MM@1#Y;A (An01. 2#A yAz 9$M|,U ZBC,D. ,=
  37. A Face Recognition System for Access Control using Video ...

    mi.eng.cam.ac.uk/reports/svr-ftp/arandjelovic_PR06.pdf
    21 Dec 2005: related method of Riklin-Raviv and Shashua [24]. On the other hand, the 3D mor-. ... mateµ̂(Di) is given by the following expression:. µ̂(Di) =. j. αjG(Di; µj, σj), (24).
  38. Incremental Learning of Temporally-CoherentGaussian Mixture Models…

    mi.eng.cam.ac.uk/reports/svr-ftp/oa214_BMVC_2005_paper2.pdf
    11 Jul 2005: 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.
  39. 9 Aug 2005: Scientific writing 154,755 7.24 589.71 649.38. Fiction 239,927 7.10 657.40 711.87.
  40. lf3.dvi

    mi.eng.cam.ac.uk/~mjfg/local/4F10/lum.pdf
    11 Nov 2005: 1994). Dynamic be-lief networks for discrete monitoring. IEEETransactions on Systems, Man, and Cybernet-ics, 24(11):1593{1610.
  41. CLASSIFICATION USING HIERARCHICALMIXTURES OF EXPERTS S.R.Waterhouse…

    mi.eng.cam.ac.uk/reports/svr-ftp/auto-pdf/waterhouse_hme.pdf
    9 Aug 2005: 24 11.5 4.27.
  42. 9 Aug 2005: 2 2 M# 39 D 24@ 9a3 8 C 6 6 @ C 6 6. ... r r$pqj q n,p. 8 /2!6 #(H 24@ A 2 @ 3C!3586 ( 0?
  43. Effective Corner Matching P. Smith�, D. Sinclair �, R. ...

    mi.eng.cam.ac.uk/reports/svr-ftp/auto-pdf/smith_bmvc1998.pdf
    9 Aug 2005: International Journal of Computer Vision,24(3):271–300, 1997. [11] Z. Zhang, R. Deriche, O.
  44. TPAMI0110-0304-1 1..13

    mi.eng.cam.ac.uk/reports/svr-ftp/williams_pami2005.pdf
    20 Apr 2005: The Relevance Vector Machine, or RVM, was proposed byTipping [24] as a Bayesian treatment of the sparse learningproblem. ... Pattern Analysis and Machine Intelligence,vol. 24, no. 7, pp. 996-1000, July.
  45. A Probabilistic Framework for Space Carving A. Broadhurst, T.W. ...

    mi.eng.cam.ac.uk/reports/svr-ftp/auto-pdf/broadhurst_iccv01.pdf
    9 Aug 2005: t=20. t=22. t=24. t=26t=28Probabilistic. Space Carving. Error (RGB distance). Per. cent.
  46. MORTGAGE DEFAULT: CLASSIFICATION TREES ANALYSIS David Feldman* and…

    mi.eng.cam.ac.uk/~mjfg/local/4F10/Feldman_Gross.pdf
    15 Nov 2005: MORTGAGE DEFAULT: CLASSIFICATION TREES ANALYSIS. David Feldman and Shulamith Gross#. March 24, 2003. ... 24. robust Cross-Validation method. Since it does not have any particular.
  47. 9 Aug 2005: 0 9 ' G 0 &24 ). F$ T -,3 # c> J5 # -_ S-"/L #? # 7>U;"> # 7 S-,?BI? PQ5 7? 7 7S-[ J5R,SDR68Q?-[- # I/L, -= T? # ... 0)3 24 9. &. 20! ) -7+&) :0) %0 <. 0 10 20 30 40 50 60 70 80 905. 4.
  48. Epipolar Geometry from Profiles under Circular Motion Paulo R. ...

    mi.eng.cam.ac.uk/reports/svr-ftp/auto-pdf/mendonca_PAMI.pdf
    9 Aug 2005: can be described by a harmonic homology [24]. The next theorem gives a formal. ... fundamental matrix shown in (16) is the scale factor. (24)This parameter can be found, again, by a one-dimensional search that minimizes the.
  49. University of Cambridge, 3D Ultrasound Research Sequential 3D…

    mi.eng.cam.ac.uk/reports/svr-ftp/auto-pdf/3dus_tutorial.pdf
    9 Aug 2005: Berman. Rapid calibration for 3-D free-hand ultrasound. Ultrasound in Medicine and Biology, 24(6):855–869, July 1998. ... Ultrasound in Medicine and Biology, 24(6):841–854, July 1998. R. N. Rohling, A.
  50. A NOVEL SELF-ORGANISING SPEECH PRODUCTIONSYSTEM USING…

    mi.eng.cam.ac.uk/reports/svr-ftp/auto-pdf/blackburn_ICPhS95.pdf
    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
  51. An Illumination Invariant Face Recognition System forAccess Control…

    mi.eng.cam.ac.uk/reports/svr-ftp/oa214_BMVC_2004_paper1.pdf
    8 Aug 2005: 32.5MSM 24 38.9.

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