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  1. Results that match 1 of 2 words

  2. � � � � � ����� � � � ...

    mi.eng.cam.ac.uk/reports/svr-ftp/auto-pdf/robinson_phd.pdf
    9 Aug 2005: E 7373 1 :-771 K|83:- 1 ;X3 1 %{! &( :%L -L 71 P&7<( L4 1 )@'e %2L"1 5L,1 2 G>KL [%24<R[VL 7tWA7C4L&4LT % H @ f
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  4. 9 Aug 2005: 3. / 6Lf#%&dY 6P4: = "#c+'/ S 24:%&$". /48./ < "4:$+%R4:N "% c# '4:! %&
  5. 9 Aug 2005: "!#$%'&(),.-0/21 3 45/6 6 387. 9:;=<=>?9@A<,BDC%@E0@E99#@E,@FG 9H<#IJBDC>LKE#M8 9)N=OE>?:F0@E <PB @QA<==99<. R>LKE#M8 9ST3U/VW XEY. ZU[]_[aa[;b[aNcedUfhgjilk2i;]dinmho pbi;qpgj[rkst[NuNilvvcwaxzy{o|h}rced{k2[NdiEppiEp! "#%$'&( $! )
  6. SENSORLESS FREEHAND 3DULTRASOUND IN REAL TISSUE: SPECKLE…

    mi.eng.cam.ac.uk/reports/svr-ftp/gee_tr510.pdf
    10 Jan 2005: Nelson and D. H. Pretorius. Three-dimensional ultrasound imaging. Ultrasound inMedicine and Biology, 24(9):1243–1270, 1998. ... Pattern Recognition Letters, 24(4–5):705–713, February 2003. [13] G. Treece, R. Prager, and Gee.
  7. UNIVERSITY OF CAMBRIDGEDEPARTMENT OF ENGINEERING � ��� ��� � ...

    mi.eng.cam.ac.uk/reports/svr-ftp/auto-pdf/witt_thesis.pdf
    9 Aug 2005: UNIVERSITY OF CAMBRIDGEDEPARTMENT OF ENGINEERING! "$#&%'(()! ,-%./0%12 ,3%4"56/. 7&8:9<;>=?A@>B=DCFE 8HGIG. JLK)MON>PRQTS UVXWHWYK)ZXK. JOV[]KS._K)bacedfagXgXg.
  8. 9 Aug 2005: 21 1=E5ooYtJ9>. u;%' vw 4# j02 1 v x! $0. 24# 2!
  9. � � ��� ��� �� � � ������ ���� ...

    mi.eng.cam.ac.uk/reports/svr-ftp/auto-pdf/logan_thesis.pdf
    9 Aug 2005: "$#&%(' )#,(#,-/. 021435.76. 8:9<;>=@?BADC5?BEFEHGJIGLKNMOA(9HPBGQ;@R@9S=UTV?WXCZYL[(;@9F]NIGLKYLA(]. CZYL[(;9<]NIG_MA(9HPGJ;@Ra9H=bTdceANIB9<ANGJGQ;@9FANIfGQghYi;>=[VGjAB=jk.
  10. 9 Aug 2005: " #$&%(' )! &-, /! 102345 6'7%( )893:; -)&93 8<=>3? @( 0. A9B(C:DFE6GIHJA-B(C:DE6GLKM. NOB&P"E6GRQ8S(SUT. VXWZY[]_W=aWcbed;fIWghji h4fIkel7mnYoW=bqpri i s8tndYUhmvuewhh[Lkxyh[l{zb|WfIW!lb. {) Z " F$/ 34' 0 5 6() <$)&F& <! $&!<c'n35)& < 6%U! 6 (8<c@!
  11. ON THE USE OF SUPPORT VECTOR MACHINES FOR PHONETIC ...

    mi.eng.cam.ac.uk/reports/svr-ftp/auto-pdf/clarkson_icassp99.pdf
    9 Aug 2005: For testing we chose the coreset. It consists of 192 utterances from 24 different speakers not in-cluded in the training set. ... JASA, 24:175–184, 1952. [11] Tony Robinson. Dynamic Error Propogation Networks.PhD thesis, Cambridge University
  12. 9 Aug 2005: "!$#&%('),-!'0/1243--2. 576$8:9<;>=@?BA$CED F<=HG$CI;>JK=HLNMPOQFBAR=@F<CICI;>=@FBATS CIU"6V;KLK8TCWF.LX ;>Y<8TU"=@FBA$L[ZRF]L[;>CICIL56$8_9";>=@?BA$C_57acbId7e. OQFBARf@6$F<?
  13. PRONUNCIATION MODELING BY SHARING GAUSSIAN DENSITIESACROSS PHONETIC…

    mi.eng.cam.ac.uk/reports/svr-ftp/auto-pdf/nock_euro99.pdf
    9 Aug 2005: One wayto make a fair comparison is to compare the “merged” SLPMsystem with a system that has 24 Gaussians per state. ... However,data sparseness causes the 24 Gaussians-per-state system to beover trained and its WER on the test set is 39.7% which is
  14. Face Recognition with Image Sets Using Manifold Density Divergence ...

    mi.eng.cam.ac.uk/reports/svr-ftp/oa214_CVPR_2005_paper1.pdf
    8 Aug 2005: 01. 20. 24. 2.5. 2. 1.5. 1. 0.5. 0. 0.5. 1. ... In Proc. IEEE European Conference onComputer Vision, pages 3–19, 2002. [24] G.
  15. INVESTIGATION OF ACOUSTIC MODELLING TECHNIQUES FOR LVCSR SYSTEMS M.…

    mi.eng.cam.ac.uk/reports/svr-ftp/gales_rt04_modelling.pdf
    19 May 2005: sb(i, j)G(rb) (24). G(rb) =. Mr. m=1. λ(m)bb Gm (25). where sb(i, j) denotes the (i, j)th element of the bth basis ... SATDIAGC cmllr 25.8 17.8 21.9 17.9. SATSPAMcmllr+ 25.0 17.6 21.4 17.6cmllr 24.9 17.5 21.3 17.5.
  16. TODO: This is a placeholder. Final title will be filled later.

    mi.eng.cam.ac.uk/reports/svr-ftp/liao_interspeech05.pdf
    26 Sep 2005: Uncertainty 1 4 16 256. an — 33.2. LICENo. 24.6 20.7 17.0 12.3CMLLR 16.3 15.3 12.8 13.5.
  17. Estimating Disparity and Occlusions in Stereo Video Sequences Oliver…

    mi.eng.cam.ac.uk/reports/svr-ftp/williams_cvpr2005.pdf
    9 Aug 2005: For networkswithout loops, message-passing rules can be used to com-pute MAP and MMSE estimates at each node [16, 24]. ... Int. Conf. on Com-puter Vision, volume 2, pages 722–729, 1999. [24] J.
  18. Likelihood Models for Template MatchingUsing the PDF Projection…

    mi.eng.cam.ac.uk/reports/svr-ftp/thayananthan_bmvc04.pdf
    8 Aug 2005: CS 4.38FL 14.8102RL 185.6105DL 0.08103. CS 4.14FL 8.7102RL 137.0105DL 0.06103. CS 3.49FL 24.94102RL 4.73105DL 5.27103. ... CS 3.07FL 27.88102RL 24.7105DL 1.126103. Figure 4: Hand template matching Rows show some of the images where using the data
  19. 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
  20. 9 Aug 2005: 23.5. 24. 24.5. 25. 25.5. 0 2 4 6 8 10 12 14 16 18 20. %
  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. 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
  23. 16 Sep 2005: Pattern Recognition Letters, 24:757–777, 2003. [8] A. H. Gee, N. E. ... Ultrasound in Medicine & Biology, 24(6):855–869, 1998. [18] F. Rousseau, P.
  24. 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-.

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