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mi.eng.cam.ac.uk/reports/svr-ftp/auto-pdf/leggetter_thesis.pdf9 Aug 2005: #"$%'&(&)! %, -. /0/! 12&- /-3"4 5&) 6/! (-78! :93;<-3= >&? A@CBD!> 78.(/7"2.EF&0/GH =I J 0K/.1! H0L$M! N. O$@. >/F 1+P! >. Q-. 1, RL! Q!S= =8./-.QK= = ;<"T.$SUVW9YXXX&) @. Z []_acbdfehgaikj. <.,! 'NH"4</. A Na7. --. R $H R! = -. -31 R! "TL$$ @ -
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mi.eng.cam.ac.uk/reports/svr-ftp/auto-pdf/syn_thesis.pdf9 Aug 2005: 21 158;:=<]! ) 20! _02! "$ a! /@"$ Y02b $M a c)020. -
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mi.eng.cam.ac.uk/reports/svr-ftp/auto-pdf/rummery_thesis.pdf9 Aug 2005: "!#. $&%('),.-0/213),%4+.57698:8<;=1?>. @2A3BDCFE,GIHFJ3KDLNMOGIP3KQESRTGIUWVYXZMOJ[GMOK]KQESGMOJY_KQFA[E,UaBDKQM[Ub EdcFBOGeMOJ3UTfgMihOUaE,K]K]U@2A3BDCFE,GIHFJ3Kj@2kmlYnpoZq. XZMOJ3reA3MOH. -
Likelihood Models for Template MatchingUsing the PDF Projection…
mi.eng.cam.ac.uk/reports/svr-ftp/thayananthan_bmvc04.pdf8 Aug 2005: Three Receiver Operating. Method Within first 10 Within first 20 Within first 50Chamfer score 63% 70% 79%. ... Pattern Analysis and Machine Intell., 23(12):1449–1453, 2001. [20] A. R. Webb.Statistical Pattern Recognition. -
UNIVERSITY OF CAMBRIDGEDEPARTMENT OF ENGINEERING � ��� ��� � ...
mi.eng.cam.ac.uk/reports/svr-ftp/auto-pdf/witt_thesis.pdf9 Aug 2005: UNIVERSITY OF CAMBRIDGEDEPARTMENT OF ENGINEERING! "$#&%'(()! ,-%./0%12 ,3%4"56/. 7&8:9<;>=?A@>B=DCFE 8HGIG. JLK)MON>PRQTS UVXWHWYK)ZXK. JOV[]KS._K)bacedfagXgXg. -
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mi.eng.cam.ac.uk/reports/svr-ftp/auto-pdf/rohling_firstyear.pdf9 Aug 2005: "!$#&%(')-,/.102%(3/#5467,-894:3;8=<>@?/ACBEDGF9HJIK>@HMLNDPO-ACQ9BSRQ9OTRU>KVXWNAYQZLRMACB>KV. [@]_S[bacedef"g. h=ijlkmnkopopq. r ipsutv$dew"gpxKyfd{zpx:v$|}d{jCf"gbdefx:x:v$def"g2x:SiEv}}sMxf v$sMSdef"gpbfv}x:x:r ips_tSv$dew"gpx r k:. Cf"gbceipfw. -
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mi.eng.cam.ac.uk/reports/svr-ftp/auto-pdf/wong_tr108.pdf9 Aug 2005: " # $%'&%() %&,.-0/12"4356783%9!:;/<3=3=>)? %% @9AB("C&D '29 9 ,EGFHJILKM#) ON3=)K? )' P:QI$3=>C-R "B(6G S&TU-R SMD9 % VJ 5" W-0D#"9A = 9QX ) '9Y%&)ZD,W%'1! [! )&% & ] N /H353&W W%9QE_ON % A7S%M 9H WM#% a% "T7D#%%Pb% 7)c'a NM9 % "O TW S% W.7[ KA W Z' -
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mi.eng.cam.ac.uk/reports/svr-ftp/auto-pdf/blackburn_thesis.pdf9 Aug 2005: " #$ %& '& ()!,&-&. 0/ 12436587:9 ;=<?>"@BAC361D4EGF!H 24@. I8JLKNMOKQPSRUTWVXNXZY-[YT]_'aOJ=KZbO[cYd. T]_'aOJ=KZbO[cY'eGMOKNfcYJ=gLKQPSRihMO[cKZMOY-YJ=KZMO[kj Ylm]J=Pn_,Y-MoP. prqtsqtuwvqoxiy{z4z4|. }GNLkLo 6''koZL'LcG = W} ¡¢ W£Z¤¥=t! "#$&% '( -
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mi.eng.cam.ac.uk/reports/svr-ftp/auto-pdf/jervis_thesis.pdf9 Aug 2005: "!$#&%')(,- /.0%1+-23! 4356078 9. :<;/=?>0=A@CBED)FHGAGI FHJLK0;9=NMOHPQR>0OSG?FH>1M. T)PVUWPXJKPY;[ZYSH]. _SaNbcdaNb"bXeXfWgihHgjajkmlnaNbbpoqpr asgigie"cutWkmfLv"kdl0bpajcSeWf/hHgjajkml tWkmfLgj_we -
nips7.dvi
mi.eng.cam.ac.uk/reports/svr-ftp/williams_nips2004.pdf9 Aug 2005: Rowley, S. Baluja, and T. Kanade. Neural network-based face detection.IEEETransactions on Pattern Alaysis and Machine Intelligence, 20(1):23–38, 1998. -
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mi.eng.cam.ac.uk/reports/svr-ftp/auto-pdf/gee_tr150.pdf9 Aug 2005: #"$%& '( ) (,. -/(01 32# "' #1 3456789&:;%5<9=> :?1? @A ; -/. BCEDFHGJIIK. LNMPORQTSU?VWXPUYOZX[]S_ acbd. egfihEhkj!lkmnLop1p1hEqhLrsut!v w1xiqh. yuz{|} |{u}}. ] ; ;? #"%$&'$()&'$(& ,(-%, &. / 01( , 23& ( 445761( 8 ( 4! 9&&4: ;<( (-= >76? (? @!A & &B -
THE DEVELOPMENT OF THE CAMBRIDGE UNIVERSITY RT-04 DIARISATION SYSTEM…
mi.eng.cam.ac.uk/reports/svr-ftp/tranter_rt04.pdf10 Jan 2005: 19.7spkr-mid 16.7 16.2 23.5 23.5 20.0. ... 40 45 50 55 60 6517.5. 18. 18.5. 19. 19.5. 20. -
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mi.eng.cam.ac.uk/reports/svr-ftp/auto-pdf/valtchev_thesis.pdf9 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& <! $&!<c'n35)& < 6%U! 6 (8<c@! -
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mi.eng.cam.ac.uk/reports/svr-ftp/auto-pdf/logan_thesis.pdf9 Aug 2005: "$#&%(' )#,(#,-/. 021435.76. 8:9<;>=@?BADC5?BEFEHGJIGLKNMOA(9HPBGQ;@R@9S=UTV?WXCZYL[(;@9F]NIGLKYLA(]. CZYL[(;9<]NIG_MA(9HPGJ;@Ra9H=bTdceANIB9<ANGJGQ;@9FANIfGQghYi;>=[VGjAB=jk. -
Speckle Classification forSensorless Freehand 3D Ultrasound P.…
mi.eng.cam.ac.uk/reports/svr-ftp/hassenpflug_tr513.pdf16 Mar 2005: 10. 20. 30. 40. 50. threshold for |b ρ|. threshold for |b ρ|. ... 0.2. 0. 0.2meanvariance. 0 5 10 15 20 25 30 350. -
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mi.eng.cam.ac.uk/reports/svr-ftp/auto-pdf/james_thesis.pdf9 Aug 2005: "# $% & '()$&,-. /. 0 13245 67098: ;<9 2% -. =?>@BADC7E?FHGJI!KLF#M4NO>#P"Q&R. =,KTS:FUADFLV4WXKBYZY[QTVQW]>#P"!_ADC!VTQ. a(FBAbGcQTCdeADFLVCLKLP. fgQL_h!>U_iM #j#j#k. -
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mi.eng.cam.ac.uk/reports/svr-ftp/auto-pdf/odell_thesis.pdf9 Aug 2005: #" %$'&)( ,-. /"0 1/"2 )3. 4576989:2;<4=:0>@?ACBEDF?G696. HJILKMKONLPOQRSUTVTWKMXYK. Z[]_abOcdcfe. g=hji9i9k3lVmonpm9hjqsr%iotvuvw.hjm9m9kyxm9qzmo{|k7}0r|hjk3lVi9hjmV qLnw.uvlVhjxvkqslGmo{|kxvkyslVkyk=qg=qsymqslGqG{|hjqi9qsv{. rlVkyyk3rmLk3nlVi syq|r -
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mi.eng.cam.ac.uk/reports/svr-ftp/auto-pdf/dance_tr273.pdf9 Aug 2005: "#$ %&(') , -./0 %. 13243265879 :<;=79 >?4@2AB2C DE7GF;HD. I=JLKNMPORQTSVU<WPQXKNWY?OZ8[]_Ra 7b9dc7DVegfHhbhi. 53;Hj7Dlknmo;H9k(p-qsr9 Ftu9 ;<;HDltu9 Fv 9 txw;HDlyEtxkle,pGqs1X7bm=zDVt{>Fb;1X7bm=zDVt{>Fb;81X|}LfHC. r9 Fu79 >. fb2X4N5 v 1! #"%$'&)($-, -
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mi.eng.cam.ac.uk/reports/svr-ftp/auto-pdf/holden_tr161.pdf9 Aug 2005: "!#$% & ' ($) , -. 0/213546. 798;:=<>@?#<>&ABDC;A-EGFH>)8>IBKJLNM.O5J):=M.A 8PJ8QR+>IL.ETSUR:=B=VWX:=V B=MN8YZMN8;[MN8>]J-B%LC_>)M.Y<:K>]Q. abA88>&WX:=M.A 8 M.cU:edf>g:ihbABKj c. k)lmXnpoq-rsXtvu-lnw. xyz|{G}= Tz|G}=GqvD&. mXn]m%X]DX%. -
An Illumination Invariant Face Recognition System forAccess Control…
mi.eng.cam.ac.uk/reports/svr-ftp/oa214_BMVC_2004_paper1.pdf8 Aug 2005: 10. 15. 20. 25. 30 05. 1015. 2025. 30. 0.92. 0.94. ... 0.96. 0.98. 1. 1.02. 1.04. 0. 5. 10. 15. 20. 25. -
UNIVERSITY OF CAMBRIDGEDEPARTMENT OF ENGINEERING ��� ������� ��� ��…
mi.eng.cam.ac.uk/reports/svr-ftp/auto-pdf/rohling_thesis.pdf9 Aug 2005: UNIVERSITY OF CAMBRIDGEDEPARTMENT OF ENGINEERING! "#$&%' ()&%,.- / )01 %2 3. 465879;:=<>?A@2B"58CEDGF4658B"CH?HI"J. KMLONGPRQ=LTSVUWUXKZY[UWUW,]. _O,Gabdcef,Pgdh;hi. -
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mi.eng.cam.ac.uk/reports/svr-ftp/auto-pdf/donovan_thesis.pdf9 Aug 2005: "!$#&%('),-!'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<? -
The Cambridge University March 2005 Speaker Diarisation System R. ...
mi.eng.cam.ac.uk/reports/svr-ftp/sinha_eurospeech05.pdf23 Jun 2005: only) MAPadaptation, withτ = 20 from theB models to theD data. ... IAC DataSetMS/FA/SPE/DER Cluster Imp Seg ImpBase Dev24 1.2/1.1/17.9/20.176.59@718 4.36@2363Base Eval -
DEVELOPMENT OF THE CU-HTK 2004 BROADCAST NEWS TRANSCRIPTION SYSTEMS…
mi.eng.cam.ac.uk/reports/svr-ftp/kim_icassp05.pdf1 Apr 2005: Training Data %WERdev03 eval03 dev04f. bntr04-750h 16/7k 13.4 12.1 –bntr04-750h 32/7k 12.8 11.8 21.6bntr04-1050h 32/9k 12.2 11.4 -
NEW FEATURES IN THE CU-HTK SYSTEM FOR TRANSCRIPTION OFCONVERSATIONAL…
mi.eng.cam.ac.uk/reports/svr-ftp/auto-pdf/hain_icassp01.pdf9 Aug 2005: P4a 34.5 39.6 37.1 20.9 33.5 27.2P4b 35.5 40.3 37.9 21.9 33.7 27.8P5a 33.9 38.4 36.2 ... 20.3 32.7 26.6P5b 34.5 39.5 37.0 21.0 32.8 26.9P6a 33.6 38.4 36.0 20.3 32.6 26.5. -
PSEUDO-ARTICULATORY SPEECH SYNTHESIS FOR RECOGNITIONUSING AUTOMATIC…
mi.eng.cam.ac.uk/reports/svr-ftp/auto-pdf/blackburn_icslp96.pdf9 Aug 2005: 0 5 10 15 20 2589. 90. 91. 92. 93. 94. ... 0 5 10 15 20 2575. 80. 85. 90. Depth in Nbest list. -
Learning over Sets using Boosted ManifoldPrincipal Angles (BoMPA)…
mi.eng.cam.ac.uk/reports/svr-ftp/oa214_BMVC_2005_paper1.pdf10 Jul 2005: Typically, the optimal (in the MDL. 10 20 30 40 50 60 700. ... KL divergence algorithm (KLD) [20] ,• Mutual Subspace Method (MSM) [26],• Kernel Principal Angles (KPA) [25], and. -
A Probabilistic Framework for Space Carving A. Broadhurst, T.W. ...
mi.eng.cam.ac.uk/reports/svr-ftp/auto-pdf/broadhurst_iccv01.pdf9 Aug 2005: 30 35 40 45 500. 5. 10. 15. 20. t=16. t=18. ... age. of m. issi. ng p. ixel. s. 20 30 40 50 60 700. -
Appears in Proc. ICASSP-97 c� IEEE 1997 MODELLING WORD-PAIR ...
mi.eng.cam.ac.uk/reports/svr-ftp/auto-pdf/niesler_icassp97.pdf9 Aug 2005: 0 10 20 30 40 50 60 70 80 90 1000. -
THE APPLICABILITY OF ADAPTIVE LANGUAGE MODELLING FORTHE BROADCAST…
mi.eng.cam.ac.uk/reports/svr-ftp/auto-pdf/clarkson_icslp98.pdf9 Aug 2005: Model PerplexityBaseline 134.4. Cache-based 118.9Mixture-based (10 components) 121.3Mixture-based (20 components) 119.3Mixture-based (30 components) 117.9Mixture-based (40 components) 117.1Mixture-based (50 components) -
An information-theoretic approach to facerecognition from face motion …
mi.eng.cam.ac.uk/reports/svr-ftp/oa214_IVC_2005_paper1.pdf12 Jul 2005: 50. 0. 5. 10. 15. 20. 25. DKL. (q||p). DKL. (p||q). ... M. Cover, J. A. Thomas, Elements of Information Theory., Wiley, 1991.[20] O. -
Incremental Learning of Temporally-CoherentGaussian Mixture Models…
mi.eng.cam.ac.uk/reports/svr-ftp/oa214_BMVC_2005_paper2.pdf11 Jul 2005: Briefly, Zwolinski and Yang [20], and Figueredo and Jain [6] overestimate thecomplexity of the model and reduce it by discarding “improbable” components. ... 20] M. Zwolinski and Z. R. Yang. Mutual information theory for adaptive mixture -
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mi.eng.cam.ac.uk/reports/svr-ftp/auto-pdf/gee_mmvip.pdf9 Aug 2005: c AM%F7.(%VQq+FsK% ,$bD Y= 6%F-01%7:I aF.20%' b ) A:!c Z-(/A'!"$ 2%7 "$! ) ... E=q s4= = '}ª=uxÛ%-"'0; 7 A:uF3 '-U'7 Z< 20'%M''(G'(%% ) '(5=. -
Automatic Face Recognition for Film Character Retrieval in…
mi.eng.cam.ac.uk/reports/svr-ftp/oa214_CVPR_2005_paper2.pdf8 Aug 2005: a) (b). 0 5 10 15 20 25 30 350.75. 0.8. ... ore. ρ. 1 training image2 training images4 training images. 0 5 10 15 20 25 30 350.84. -
Detection of Human Faces under Scale, Orientation and Viewpoint ...
mi.eng.cam.ac.uk/reports/svr-ftp/auto-pdf/yow_fg96_2.pdf9 Aug 2005: 8 shows the result for the image being reduced to 80%,60%, 40% and 20% of the original size. ... d)percentage size = 20%. tion noise. However, we are successful in detecting the fa-cial features of large faces even though our preattentive fil-ter is small -
paper-mdeval-v19_revised.dvi
mi.eng.cam.ac.uk/reports/svr-ftp/tomalin_rt04.pdf12 Jan 2005: mapped mappedHours c.20 c.20 c.20 c.90 c.4000Tasks all SMD all SMD all SMD SUBD SUBD. ... SYSTEM Interpolation Weightsctsrt03 tg 0.30ctsrt04 tg 0.40ctsrt03 cl40-tg 0.10ctsrt04 cl40-tg 0.20. -
INVESTIGATION OF ACOUSTIC MODELLING TECHNIQUES FOR LVCSR SYSTEMS M.…
mi.eng.cam.ac.uk/reports/svr-ftp/gales_rt04_modelling.pdf19 May 2005: This system gave WERsof 10.7%, 13.2% and 20.0% on the three test sets. ... The finalerror rates were 20.5% on eval03 and 16.9% on dev04. -
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mi.eng.cam.ac.uk/reports/svr-ftp/auto-pdf/logan_sst96.pdf9 Aug 2005: y (k. Hz). 20 40 60 80 100 120 140 160 180 200 2201. ... Frame. Freq. uenc. y (k. Hz). 20 40 60 80 100 120 140 160 180 200 2201. -
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mi.eng.cam.ac.uk/reports/svr-ftp/auto-pdf/aiyer_tr60.pdf9 Aug 2005: state 1. state 10t=1. t=20. state 1. state 10t=1. t=20. state 1. ... state 10t=1. t=20. v=Topviop. v. v. v. (1) (2). (3). v=sTzsv. -
x(t) u(t) x(t+1) y(t+1) Time delay ��������� ��� ������� ...
mi.eng.cam.ac.uk/reports/svr-ftp/auto-pdf/robinson_icassp92.pdf9 Aug 2005: 7.4. 0 2 4 6 8 10 12 14 16 18 20. % ... 23.5. 24. 24.5. 25. 25.5. 0 2 4 6 8 10 12 14 16 18 20. % -
Rapid, Easy and ReliableCalibration for Freehand 3D Ultrasound P-W.…
mi.eng.cam.ac.uk/reports/svr-ftp/hsu_tr534.pdf16 Sep 2005: Ultrasound in Medicine & Biology, 20(9):923–936, 1994. [5] A. Fenster, D. ... IEEE Transactions on Medical Imaging, 17(5):681–693, 1998. [20] A. State, D. -
A Probabilistic Framework for Perceptual Grouping of Features for ...
mi.eng.cam.ac.uk/reports/svr-ftp/auto-pdf/yow_fg96_1.pdf9 Aug 2005: 20]), only work well in highresolution and relatively noise-free images. However, amodel of the object described in terms of higher level fea-tures (such as a face described in terms ... Technical Report CUED/INFENG/TR249, Universityof Cambridge, August
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