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PSEUDO-ARTICULATORY SPEECH SYNTHESIS FOR RECOGNITIONUSING AUTOMATIC…
mi.eng.cam.ac.uk/reports/svr-ftp/auto-pdf/blackburn_icslp96.pdf9 Aug 2005: The 16kHz speech was then parameterisedinto 24-dimensional Mel-frequency log spectral coefficients and 12-. -
Epipolar Geometry from Profiles under Circular Motion Paulo R. ...
mi.eng.cam.ac.uk/reports/svr-ftp/auto-pdf/mendonca_PAMI.pdf9 Aug 2005: can be described by a harmonic homology [24]. The next theorem gives a formal. ... fundamental matrix shown in (16) is the scale factor. (24)This parameter can be found, again, by a one-dimensional search that minimizes the. -
TPAMI0110-0304-1 1..13
mi.eng.cam.ac.uk/reports/svr-ftp/williams_pami2005.pdf20 Apr 2005: The Relevance Vector Machine, or RVM, was proposed byTipping [24] as a Bayesian treatment of the sparse learningproblem. ... Pattern Analysis and Machine Intelligence,vol. 24, no. 7, pp. 996-1000, July. -
report.dvi
mi.eng.cam.ac.uk/reports/svr-ftp/liao_tr499.pdf26 Sep 2005: 23. 4.2 The Conditional Corrupted Speech Distribution. 24. 4.3 Gaussian Mixture Model Approximations. ... of the non-linearity. Alternatively with PMC [24], Gales applies various approximations in the. -
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/cipolla_iccv95_cusps.pdf9 Aug 2005: "! #! $. %'&)(-,/./&10243+&)54576 89&),;:&=<?>@57-./A;BC-, DEF.;-,G8G24(5H24<. IG-3J6=,K./L1-<M.'&)NPOQ<CR)24<S-,K24<CR ... 24[F,;Y]24._ &)NQ06=La(,/27:R Z'<24[)-,;Y]24._b&)NPc24[)-,/3+&&)506=LW(,/24:Rd0ef ghDiPjCZlknmok c24[F,/3+&&=5"c"pqsretajZlknmsk. -
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mi.eng.cam.ac.uk/reports/svr-ftp/auto-pdf/gee_tr207.pdf9 Aug 2005: pñ);N 5/GòQð'5Eñ Zò% ò ð ñsò ' 24 1 ð2ñOZñNò:P# >òsò 5 ò; òHòHð pñ:" ò ' '%Hð ñsò :Gð' ñO? '> ... Hòsññ >H # H Sñ)ðð ò M &2( ãñ 5Eò ò:24 P >ò @ðLñsò ñZñ _ò. -
lf3.dvi
mi.eng.cam.ac.uk/~mjfg/local/4F10/lum.pdf11 Nov 2005: 1994). Dynamic be-lief networks for discrete monitoring. IEEETransactions on Systems, Man, and Cybernet-ics, 24(11):1593{1610. -
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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