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mi.eng.cam.ac.uk/reports/svr-ftp/auto-pdf/jones_icslp94.pdf9 Aug 2005: A@/! M$1FGq@/(r-5n&&G L!O 1c6GZs M1FC!(D.GIC51( F./1(./M&-5!Ct@!C!1 ( Z)6(3I8suFvw!4.C! Z1( n1X) 1(T ATC @! '? 24 -
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mi.eng.cam.ac.uk/reports/svr-ftp/auto-pdf/knill_tr193.pdf9 Aug 2005: 2 f > f 35350 J<?L t'g<] e ]25342 gn h' [ <h'h <k% l e%f s<?]lxgk e 24<0l. ... 35 n J<?gh'l>lL2q0@ ' [ < f t_<?00 f 2' >'g#e[[ 35 e 24<0Nt e e,f / / l. (&) -
Face Recognition from Face Motion Manifolds using Robust…
mi.eng.cam.ac.uk/reports/svr-ftp/oa214_FPIV_2004_paper1.pdf8 Aug 2005: 6] M. A. Fischler and R. C. Bolles. Random sample consen-sus: A paradigm for model fitting with applications to imageanalysis and automated cartography.IEEE Transactions onComputers, 24(6):381–395, -
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mi.eng.cam.ac.uk/reports/svr-ftp/auto-pdf/niesler_tr281.pdf9 Aug 2005: Equality at. A : From (24) we find thatf 4 A 6 j 4 d 6. ... 3. Equality of the first derivative at A : From (24) we find that. -
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mi.eng.cam.ac.uk/reports/svr-ftp/auto-pdf/woodland_icassp94.pdf9 Aug 2005: 5 "_U#x! @#24)# $S9$M8$s!@P.6 [0!iIJ0!nU#C9$rrr. K=0!3&t(m;6tm$ 01.T$_]! 5' N-a! 3! 'T$0/k)! ... BC],0M01@"NM $A. #24) $-95l84+#24 1I{0!6A ¤!iv30M0MM@1#Y;A (An01. 2#A yAz 9$M|,U ZBC,D. ,= -
3D ELASTOGRAPHYUSING FREEHAND ULTRASOUND J. E. Lindop, G. M. ...
mi.eng.cam.ac.uk/reports/svr-ftp/lindop_tr531.pdf28 Jul 2005: Alam et al. [24] among others have noted that speckle tracking inthis form is suboptimal for elastography, because tissue compression causes both displacements(which are estimated) as well as within-window -
paper-mdeval-v19_revised.dvi
mi.eng.cam.ac.uk/reports/svr-ftp/tomalin_rt04.pdf12 Jan 2005: 17.1/66.1 44.9/20.1/68.8 51.7/24.8/79.8bnrt04 v1.0 tg 49.7/15.4/68.6 50.2/15.0/68.5 ... 68.0 44.3/24.4/72.5 50.7/28.6/82.7bnrt04 v1.0 cl40-tg 49.1/17.1/68.3 49.4/21.2/74.6 -
A Face Recognition System for Access Control using Video ...
mi.eng.cam.ac.uk/reports/svr-ftp/arandjelovic_PR06.pdf21 Dec 2005: related method of Riklin-Raviv and Shashua [24]. On the other hand, the 3D mor-. ... mateµ̂(Di) is given by the following expression:. µ̂(Di) =. j. αjG(Di; µj, σj), (24). -
Incremental Learning of Temporally-CoherentGaussian Mixture Models…
mi.eng.cam.ac.uk/reports/svr-ftp/oa214_BMVC_2005_paper2.pdf11 Jul 2005: 18] N. Vlassis and A Likas. A kurtosis-based dynamic approach to Gaussian mixture modeling.Systems, Max, and Cybernetics – Part A: Systems and Humans, 24(9):393–399, 1999. -
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mi.eng.cam.ac.uk/reports/svr-ftp/auto-pdf/niesler_tr265.pdf9 Aug 2005: Scientific writing 154,755 7.24 589.71 649.38. Fiction 239,927 7.10 657.40 711.87.
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