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  2. Machine Intelligence Laboratory

    mi.eng.cam.ac.uk/Main/GMT_4YP_21_2
    So is it possible to use the pre-op CT data, and the known geometry of the implant, to work out the relative axial rotation from the post-op X-ray
  3. 8 Mar 2000: "#%$'&(%%$),# -.$/0 -. 13234/57698;:=<?>A@CBDE2GFE24/57H9>IJ57>AKCBMLN2DMOQPR 8TSVUW4/57>XYIZ@([12?2.]5.5_3: R >_K. acbdYe fgh ikj#lmon#h pZl#grqh sutvb9wVe xkyZszlgo{dYfw|g}dZszw|grt ZbQdYefgGh ikj#lNmon#h plg?q h stCnZj/h=nZlclgh=nZj3lxd#gsel#ncs l
  4. yu.dvi

    mi.eng.cam.ac.uk/research/projects/AGILE/publications/ky_ICASSP06.pdf
    23 Feb 2006: HU }. Various levels of informationcan be propagated. 1. No information: The lower bound for allU utterances is op-timised.
  5. 1 Model-Based Hand Tracking Using a HierarchicalBayesian Filter…

    mi.eng.cam.ac.uk/reports/svr-ftp/thayananthan_pami06.pdf
    14 Sep 2006: 1. Model-Based Hand Tracking Using a HierarchicalBayesian Filter. Björn Stenger , Arasanathan Thayananthan , Philip H. S. Torr ,and Roberto Cipolla. Abstract— This paper sets out a tracking framework,. which is applied to the recovery of
  6. THE CU-HTK MANDARIN BROADCAST NEWS TRANSCRIPTION SYSTEM R. Sinha, ...

    mi.eng.cam.ac.uk/research/projects/AGILE/publications/rs_ICASSP06.pdf
    23 Feb 2006: The op-erating point selected for this work was to use the 1 hour of Englishdata from the TDT4 Mandarin source, along with 10 hours of datafrom the TDT4 English data.
  7. 9 Aug 2005: VTŵENIHBE<N><IJNBEDN.@CNO@:<?BPRT<=>HÆÇSHBE<L@SJOP<vÈkNBPRT»=NBPO@>µq<=OP@CBER<?>AÉ@C>IHBEDNOERº?RTIRTBÅ<=ONSRTSA<?VW@CO<=>JµPBPOk@CRT>hBvfBRTµRT>INSUN>IN>B:<C&µPN>NµEBPOEBPJOPN=Ê-v@> ... 43 n xo Æ5 7 É8pxu
  8. 9 Aug 2005: W8:OP; 8 A; =P;>O j:tOZ 8:f=ct jUZPW=1. ... k73>S 8:f! k73JQ =;>OP=3 8XAO 3A; V T 0@k T QoSNSK9!
  9. SPEECH RECOGNITION SYSTEM COMBINATION FOR MACHINE TRANSLATION M.J.F.…

    mi.eng.cam.ac.uk/research/projects/AGILE/publications/gales_ICASSP07.pdf
    10 Oct 2007: Thus the C2W segmentations differed. Interms of hypotheses combination there are two possible levels to op-erate at.
  10. 9 Aug 2005: 3?_WYij13A105%]MB3?oY@VWc1A?3A;XWc3A14_DNV@_0ij5!i<]23AeP@;X@>AWY]_ ;3?_WYij18%'0WYM 3?oYoYi2%] NV@] o 34105:N3A;544]_i OP@ ;X@]f34Ne0oY@5 3A105 52W. ... 0@]=@34;X@Go Wc10@B3A;bNVi052@]t_23?_ 23A@}OP@@B152@B;W 4@5dh21052@B; _0@3?]=]fh2Ne0_WYij1
  11. 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: The selected data are addedto the original training dataset to update the acoustic model and op-tionally the language model [3, 1, 4].
  12. 9 Aug 2005: ÐÚÉdÍÓÇ:ÐÚÖèÃÍáÐpÅÙϺÑÐÚ_ÐÚÑÅäкÉdÍáédÕßØkÓàÇ Â ÐÚÃÃÍÍÄÎÐÚÊÆպϺÈd0_ÐÚÉRÐÚϺ:É"5Å]ÐÚÃ:ÏpÄÌÅ:ÛåÊê  պÈ{Ï Â ÅÃÈdÇ Â ÅÃËÅÃ_ÅáÇ:кÉ'µ ... Â
  13. Learning a Kinematic Priorfor Tr ee-Based Filterin g A. ...

    mi.eng.cam.ac.uk/reports/svr-ftp/thayananthan_bmvc03.pdf
    23 Nov 2003: PQ. RRSST>TU>U VWX>XY>YZ>Z[] >_ >abc. d>defg hi jk. l>lm. n>no>op>pq. rs ttuu.
  14. DISCRIMINATIVE LANGUAGE MODEL ADAPTATION FORMANDARIN BROADCAST SPEECH …

    mi.eng.cam.ac.uk/research/projects/AGILE/publications/liu-asru07.pdf
    26 Mar 2008: Rather than directly op-timize the interpolation weights, their prior distribution and the as-sociated hyper-parameters are optimized.
  15. 9 Aug 2005: 6 /J/,. 6 (7@5KLM N0/ OP(!Q@O R. S7T0UGTWV:X?Y[Z]T0_a[X?V:X:YDYDTWYbBV:c?S7V:X?dbdbZUeSfgZhij_GZk7Z_7TDlX?U7_l]mcUonpGTWVGqhBiGTsrtTWT0rYDTWrtV:cvuxwzyowLhBTWd. ... OP/).O=$(: 4+,G) zK $'&D=(? 4+A2+4=1[,4A1@2 )? 3 #43,e O#@4+=/ =1 4+= /;4+4 ,42'2+),1;,,G/
  16. CAMBRIDGE UNIVERSITYENGINEERING DEPARTMENT ��������� ��…

    mi.eng.cam.ac.uk/reports/svr-ftp/auto-pdf/freitas_tr313.pdf
    9 Aug 2005: jRAKJP7 uq?et 9&;m_&5;q]5 oP;et4optqBN917R?e<9msPBe9dtX%?=<9dl EAKyHg4tO;=>? ... iMAM?e>Ht4JPBmAM?7:>o 9;=9Jq?o 9;=>@t:7<B? Jus<bH A jAOJP7uq?=t 9;0 B AKo<oP;etqAO[I C4?e<9T?
  17. ICASSP04-v3.dvi

    mi.eng.cam.ac.uk/reports/svr-ftp/wang_icassp2004.pdf
    25 May 2004: To evaluate MPE-based DLT for supervised adaptation, thefull decoding with 5K word vocabulary and a bigram LM is op-erated and then the generated lattices are expanded with a trigramLM
  18. 9 Aug 2005: "!#!$&%'((),-. #/# 01243. 57698;:<8>=@?BADCFEGIHKJ#LNMPORQTSVUWXNOZYVUM[]OZ_aXNSbOcXNUUMPOcXNSedUfTg. h MPi1J f1OZXNSbPjVXk;lMPUU9mBGIHKJ#LNMPORQTSVUaXNSbnRHKX<QGIo p&qrtsubvVwTxzyb{T|I}lb}]N}T. bTN B.
  19. 9 Aug 2005: m)m)d¡m8d0e)op_ lHclngfda¡hne8e)dhm8uwxf{e8_ult iHch.kgm8e.ch.kg_ ltI]drhnopb{mc4m)_ n(lJc46unFcfn1m)_Yac4bIbe8nc(h. ... hd?c4lHct(d0opdGlgmUm.cak/P&l_ m)_Yc4ge)da{um.aHcGdi-d0dGlrbe8d!ad0lQm8dfq+I_Yh ce8da#_ op_uYc4e;m8njm8d gS1#ÇawIam8dGo _ulr_ m.a
  20. 9 Aug 2005: C 38+/ B9:-<="!87 /7:(ED. 0+/B7 B7:, B7 C 7:,/ B"> 5 2.0!87$97 "#A2<="!/7 1F 7HG :IKJ:LNM OP áá 8 76Záá 8 8 1Q!
  21. paper.dvi

    mi.eng.cam.ac.uk/reports/svr-ftp/liu_icassp2004.pdf
    29 May 2004: Structural op-timization was then performed in two stages. First the number ofcomponents per state was determined for a standard non-HLDA 28component system.
  22. Class-based language model adaptation using mixtures ofword-class…

    mi.eng.cam.ac.uk/reports/svr-ftp/moore_icslp00.pdf
    2 Nov 2000: recognition strategy. The best overall results were obtainedusing 1003 classes and a 50 topic model with weights op-timised using the EM algorithm.
  23. Multi-view Stereo via Volumetric Graph-cuts G. Vogiatzis1 P. H. ...

    mi.eng.cam.ac.uk/reports/svr-ftp/vogiatzis_cvpr2005.pdf
    31 Mar 2005: The reconstructed surface is obtained by solving the op-timisation. Smin = arg minSC. ... Ourmethod has no concept of a current surface during the op-timisation phase, and therefore has to make the visibilityassumption of section 3.
  24. The CUHTK-Entropic 10xRT Broadcast News Transcription SystemJ.J.…

    mi.eng.cam.ac.uk/reports/svr-ftp/odell_darpa99.pdf
    8 Mar 2000: 3.4. Variability of decode speed. Another concern when designing a system for guaranteed op-eration in under 10 times real time is the variability in decod-ing speed over different
  25. ULTRASONIC IMAGING OF 3DDISPLACEMENT VECTORS USING A SIMULATED 2D ...

    mi.eng.cam.ac.uk/reports/svr-ftp/housden_tr669.pdf
    28 Jun 2011: For the in vitro scan, we used a ULA-OP (Università degli Studi di Firenze, Italy) scannerwith a LA523 (Esaote, Genoa, Italy) linear array probe.
  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. 9 Aug 2005: 8y#yY9¥5n7Y-i &cB9 7ypxr8|mAYlr 8yY?nron8p 9 7yYyY9Y|v5n7Yxaq | J q8#lYy nxrx<rÓpnncnr3p i qMYl YYx<r_pnnWi ÎlxA ' p1yY@6nrY2:Õp #l OEByYAnxr 2:;BBrvAn8#@- ... RnrW|#Yxßm#l?rM-2:6y qr pWD'n7Ïr TZn Op' ¥,-Bp-YlÀ}/Àrx1x<ßxBi. }.
  28. TWO-WAY CLUSTER VOTING TO IMPROVE SPEAKER DIARISATION PERFORMANCE S.…

    mi.eng.cam.ac.uk/reports/svr-ftp/tranter_icassp05.pdf
    25 Mar 2005: it isalso possible to generate the CVOS members directly from the op-timum speaker mapping between the two inputs.
  29. 9 Aug 2005: OCÒlOC-@J?OP <C-?OlbÇ qW?O@ p cD?OR Cm@J98ÇvÈ%È%ÚNÊÏ$:@JuSs@JQ @JQSR K@oÇY¥È%ÈrÉ9ÊÏrtZ{<mYm@JQSR H:?YC-CQSsC-@Bp&ÇvÈ%È%ËBfFÊxÏ Xj}mO ... OClOC-@J?OP SC?Ol:>@eDC7ClYmOjsX|@Bm4CRlOuIC-P sC7uS@J?4@JXCmOC-?Ylf>@JlYC-RcDQ%j}m4l
  30. Estimation of Epipolar Geometry from Apparent Contours: Affine and…

    mi.eng.cam.ac.uk/reports/svr-ftp/mendonca_contours.pdf
    10 Aug 1999: If the angles of the epipolar lines had op-posite signals in respect the horizontal axis, the points putunder correspondence by the epipolar geometry would be atopposite places in the bottom
  31. Combining Single View Recognition and Multiple View Stereo For ...

    mi.eng.cam.ac.uk/reports/svr-ftp/dick_iccv01.pdf
    5 Dec 2003: Having maximised the likelihood of each primitive, amodel selection criterion is used to decide whether the op-tional parameters A?
  32. 9 Aug 2005: 8X;OP>L,72]N [=r687[FTP>L H Q LG;3=@DGF 7N [L DGQ:]. ... 1=@DED.9[=2 =@DML,_:= 9A Y V=OP-L F [P>L,H FPOC.l_:= = ;>=LKZ 7KCEPOCML,7U?
  33. 9 Aug 2005: pGj#G.G[_e 03TCOrpVc#<6. ) (y #@(0T8:Op r3TCKG[:f_( gO+fOnj:0O j O&(0/3O CTC0yJK(Oe9Zn. RO. ... OLF 8&F(iGJK}gO8)Y/0 o 9_90 :d 0 Op(O0. 3y(0COY #DViL @1{0y =C 03TCOC(OlO.
  34. Hole Filling Through Photomontage Marta Wilczkowiak∗, Gabriel J.…

    mi.eng.cam.ac.uk/reports/svr-ftp/brostow_HoleFillingBMVC05.pdf
    14 Sep 2006: Now the problem of finding an op-timal replacement of pixels in patch p′ from those in patch m′ is equivalent to finding apath in the graph such that the error
  35. 9 Aug 2005: "!#$%&"'(%&). ,-/.1023435.67398 :9.<;>=3@?<ACBDE3 0-/FG3@HIHJ:KLACFM:NBDEOAC.PD3NQR.6@-I.ACASB-I.6T.-IU4ACBWVX-/DXYZ3NQ[0:9O?B-];P65A. 0:NO?B-J;65AZ0_[ aSbdce<R.6@H]:9.<;. fghji9k9lm5in&o9prqPs5tus5vwxCvXqzy
  36. A Comparative Study of Methods forPhonetic Decision-Tree State…

    mi.eng.cam.ac.uk/reports/svr-ftp/auto-pdf/nock_euro97.pdf
    9 Aug 2005: Thus, although the baseline systems were op-timised over a limited range of thresholds, the figures obtainedare still susceptible to some degree of noise.
  37. Filtering Using a Tree-Based Estimator B. Stenger∗ A. Thayananthan∗…

    mi.eng.cam.ac.uk/reports/svr-ftp/thayananthan_iccv03.pdf
    8 Aug 2005: Filtering Using a Tree-Based Estimator. B. Stenger A. Thayananthan P. H. S. Torr† R. Cipolla. University of Cambridge † Microsoft Research Ltd.Department of Engineering 7 JJ Thompson AvenueCambridge, CB2 1PZ, UK Cambridge, CB3 OFB, UK.
  38. A NEURAL NETWORK BASED, SPEAKER INDEPENDENT, LARGE…

    mi.eng.cam.ac.uk/reports/svr-ftp/auto-pdf/wernicke_eurospeech93.pdf
    9 Aug 2005: 1.3. ComputingThe HMM-ANN approach is very computationally expensive.The networks currently require about 1013 floating point op-erations to train and future estimates of the required computepower is one
  39. A Simple Technique for Self-Calibration

    mi.eng.cam.ac.uk/reports/svr-ftp/mendonca_self-calibration.pdf
    10 Aug 1999: This goal is achieved by solving an op-timization problem by numerical techniques, searching di-rectly for the intrinsic parameters of the cameras, instead ofthe indirect search performed by the algorithms
  40. 9 Aug 2005: l>SZ'C< 3)OP@j- /);@)f;@!;@j7r) V h[H&M5@)(Af)(>-@ 5 I "HI@EHH)&O})(47)7O;<<?@)(9jAf @@Af3)VX C 3 I"j#f@B < f@C# ... Hl@H-)( (B )(.>#B 4P47(#;47(,4> '6:>o6; H(# q>9Km>o. @#>19I. #AY[>oP>o6;-<V<>_$@E3SRTA6CSÇ4(-Vdf)(T3)&H-mKMC (-"!IC5O})(/H-)( &)(&J!
  41. Multi-Sensory Face Biometric Fusion (for Personal Identification)…

    mi.eng.cam.ac.uk/reports/svr-ftp/arandjelovic_OTCBVS06.pdf
    19 Mar 2006: The optimal. values were found to be2.3 and6.2 for visual data; the op-timal filter for thermal data was found to be alow-passfilterwith W2 = 2.8 (i.e.
  42. 9 Aug 2005: "!# $%& %'()#,&-##)./10324 56&-786&9: ;#<: =;#: >?@-<;A66"B9: ;#<: =;#: >? C<DFEGHIJBGKMLONQPLSRLTU(VQLP LXWZYQ[&R]ARR[&T_T_UVALO]QRLOBaNFLPSL=NQU ]bWBcdP ]QNA[eTAdfUf[&ghNQPBiLRU P]QSU]QP LjWBTQYhLdghU[&ThPLBiLP kXWlc&dP
  43. Learning New Articulator Trajectories for a Speech Production…

    mi.eng.cam.ac.uk/reports/svr-ftp/auto-pdf/blackburn_icnn95.pdf
    9 Aug 2005: This minimal amount of parameter optimisation per iteration was necessary to ensure smooth convergence to an op-timal set of input values, and the MSE decreased during training from 1.5007
  44. 9 Aug 2005: b)yogP_SYjEogZEV=FPWnco,o4o%PSpNV]acV=V]ZRoMLV j@oMRQ6NHTVV=b)oP_SRaRKP_aOaQTLYVqtKZnSaQTLYV )@=KgZNVOSV]¢HZEV=SKWog6To,rsVqtT<j Ë!TtqÍFNnKZnS. ... O<_OJKMLONHPRQTSUWVX[ZHQ6MV]P_QTacb dfZEUgQ6ZEV=V]PRQ6ZEU hiV]jnKP_aRLYV]ZHaâk8VrHZQTrKgV]j@oP_acDM«
  45. Automatic Face Recognition for Film Character Retrieval in…

    mi.eng.cam.ac.uk/reports/svr-ftp/oa214_CVPR_2005_paper2.pdf
    8 Aug 2005: 2.5.1 Improving Registration. In the registration method proposed in Section 2.2, the op-timal warp parameters were estimated from 3 point corre-spondences in 2D.
  46. 9 Aug 2005: õ èRéüËàbé_ßAâmÛ;âmÛ;òP @.&! / # # $#wRêèRäiÑ,4,Û;èPÑ@Ð,ð;ðTÑ 437 ;Ð0PÐ.22,;Ñ. mÐ41 3 ' ébÜwâmÞßAÛT0> 8ÂâmÛ;òRâmÛ;òýôå,ð8ÜwébðäßáÛ;ÜwëVíèRé4éÜwòRéÜwëiæëbâmèRÛT8ãwäZßáëbëbâ Pã
  47. Contour-Based Learning for Object Detection Jamie ShottonDepartment…

    mi.eng.cam.ac.uk/reports/svr-ftp/shotton_iccv05.pdf
    8 Aug 2005: Horses were investigatedbriefly in [7] but poor results were obtained. 3Note that ROC curves are not ideal for the task of detection, as op-posed to classification; see [1] for more
  48. stenger_imavis06.dvi

    mi.eng.cam.ac.uk/reports/svr-ftp/stenger_imavis06.pdf
    21 Sep 2006: Figure 11 illustrates the op-eration of the classifiers at different levels of the tree.
  49. An Investigation into the Interactions betweenSpeaker Diarisation…

    mi.eng.cam.ac.uk/reports/svr-ftp/tranter_tr464.pdf
    9 Oct 2003: The first, called ”who spoke when”consists of automatically producing a series of start/end time marks with associated speaker (and op-tionally gender) labels. ... The RT-03s diarisation evaluation focused only on producing a segmentation with
  50. 9 Aug 2005: "$#%"'&( ),!-"."'0/1%2(/34! 5677)28,"9:8:"9. -"9(";< (1:"$#+"95. =9>@?A>CBEDGFIHJ KL>CM>AN$DOQPRJSTDJU$V0WYXZ[]_0acb9d[efagZGhi[jik-lCdm_n[odmapagZ[odm_ q.aGrsVQZGjWcagdjptuU$V0WYXZ[]_0aftEbvd[jap]-w.[ods_f]xfW. yzL{C|}cy<c|$[h rsVQrEagZ
  51. 8 Mar 2000: "#$%& (' ) ,-. /&. 02143517698:8:;=<?>A@B;:CED:FHG=1IGJ1LKM;ONP<I<QDRF7ST1VU&>AWX@YCZF2[M1]1_(8:8AabNbCcFdST1]e.1fgWhNZiR<jNcakCRFml&1MSonpNcaRqcCsr$t21u691wvx176zyOW|{}{h>qNcakC. CuL&ujd7?PRb?EjoPPuj&7PpAbbs:OPuBjok9JkuPPPL&ujoL¡

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