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  2. 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!
  3. 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.
  4. 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. }.
  5. 9 Aug 2005: #"$%&')(,-.%%&( 0/-#1""324%5/246"78&9:5. ;<8<'7>=@?9A@BA@BDCE<8F@<'8=HGIBDJK=B&L>MNMNO>PQ'/I JRI =BSA@BDCT8=G>=UVI ONJW(XY=ZL@Q. "M>L[AXYU]M>BDU=>_8B?IBDMNM>XaIBD?HQ.BI bDM>XcJ4I Ued=>_#'A@]G[XaI C?@M. ;'&'f2#PI JL[A@L[M>XCMNJKO>XgI,G[MNJABDMNhA@i? @
  6. 9 Aug 2005: 8X;OP>L,72]N [=r687[FTP>L H Q LG;3=@DGF 7N [L DGQ:]. ... 1=@DED.9[=2 =@DML,_:= 9A Y V=OP-L F [P>L,H FPOC.l_:= = ;>=LKZ 7KCEPOCML,7U?
  7. 9 Aug 2005: OCÒlOC-@J?OP <C-?OlbÇ qW?O@ p cD?OR Cm@J98ÇvÈ%È%ÚNÊÏ$:@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
  8. 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.
  9. 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.
  10. 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
  11. 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

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