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USE OF GAUSSIAN SELECTION IN LARGE VOCABULARY CONTINUOUSSPEECH…
mi.eng.cam.ac.uk/reports/svr-ftp/auto-pdf/knill_icslp96.pdf9 Aug 2005: Standard - - - - 100.0 12.72Standard GS 1.6 - - - 24.1 12.75Single ring 1.6 4 - - 18.4 12.88. ... 1.9 3 - - 20.3 12.881.9 4 - - 24.3 12.46. -
The Cambridge University March 2005 Speaker Diarisation System R. ...
mi.eng.cam.ac.uk/reports/svr-ftp/sinha_eurospeech05.pdf23 Jun 2005: 15. 16. 17. 18. SID CLR Threshold. Dev. 24 D. ER. ... Seg. men. t Im. pu. rity. on. dev. 04 (. 24 s. -
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mi.eng.cam.ac.uk/reports/svr-ftp/auto-pdf/shih_tr170.pdf9 Aug 2005: 2 2 M# 39 D 24@ 9a3 8 C 6 6 @ C 6 6. ... r r$pqj q n,p. 8 /2!6 #(H 24@ A 2 @ 3C!3586 ( 0? -
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mi.eng.cam.ac.uk/reports/svr-ftp/auto-pdf/leggetter_icslp94.pdf9 Aug 2005: #"$%&'(),""%-'"/.#-01('/-"2(3 4/0"5('65"879('%%(;:1'5<>=?@;ACBED #FD. -
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mi.eng.cam.ac.uk/reports/svr-ftp/auto-pdf/yow_bmvc95.pdf9 Aug 2005: 9 24 r24@&:$"fc!eC<<c (. %=. (.r2>< (5"< ; "9.( 0=& (!"f"5.-&86. (%= ... 7' n" (."#"<$ "< g" < (| &!ihj ( (!"|.$: ". E. "|c% } :=p &86 #.<2>.c"< # /.".)6 ><$ n"<$ 24!m (eY2K (12>< / "<$. -
DEVELOPMENT OF THE CU-HTK 2004 BROADCAST NEWS TRANSCRIPTION SYSTEMS…
mi.eng.cam.ac.uk/reports/svr-ftp/kim_icassp05.pdf1 Apr 2005: Using improved acoustic/language models andby combining systems with different segmentations, the 10RTsystem gave on average a 24% relative reduction in WER over theRT03 system. -
ADAPTATION OF PRECISION MATRIX MODELS ON LARGE VOCABULARYCONTINUOUS…
mi.eng.cam.ac.uk/reports/svr-ftp/sim_icassp2005.pdf12 Apr 2005: SATSPAMcmllr+ 25.0 17.6 21.4 17.6cmllr 24.9 17.5 21.3 17.5. Table 2. -
Estimating Disparity and Occlusions in Stereo Video Sequences Oliver…
mi.eng.cam.ac.uk/reports/svr-ftp/williams_cvpr2005.pdf9 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. -
PRONUNCIATION MODELING BY SHARING GAUSSIAN DENSITIESACROSS PHONETIC…
mi.eng.cam.ac.uk/reports/svr-ftp/auto-pdf/nock_euro99.pdf9 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 -
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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. ,= -
ON THE USE OF SUPPORT VECTOR MACHINES FOR PHONETIC ...
mi.eng.cam.ac.uk/reports/svr-ftp/auto-pdf/clarkson_icassp99.pdf9 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 -
Rapid, Easy and ReliableCalibration for Freehand 3D Ultrasound P-W.…
mi.eng.cam.ac.uk/reports/svr-ftp/hsu_tr534.pdf16 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. -
Contour-Based Learning for Object Detection Jamie ShottonDepartment…
mi.eng.cam.ac.uk/reports/svr-ftp/shotton_iccv05.pdf8 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 -
An information-theoretic approach to facerecognition from face motion …
mi.eng.cam.ac.uk/reports/svr-ftp/oa214_IVC_2005_paper1.pdf12 Jul 2005: In this work, FMMs are synthetically repopulated in a manner that achieves bothhigher manifold sample density, as well as some generalization to unseen modesof variation (see work by Martinez [24], and ... 24] A. M. Martinez, Recognizing imprecisely -
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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/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 -
SENSORLESS FREEHAND 3DULTRASOUND IN REAL TISSUE: SPECKLE…
mi.eng.cam.ac.uk/reports/svr-ftp/gee_tr510.pdf10 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. -
Likelihood Models for Template MatchingUsing the PDF Projection…
mi.eng.cam.ac.uk/reports/svr-ftp/thayananthan_bmvc04.pdf8 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 -
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 -
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).
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