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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. 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?
  32. 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?
  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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