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41 - 50 of 118 search results for KaKaoTalk:po03 op |u:mi.eng.cam.ac.uk where 0 match all words and 118 match some words.
  1. Results that match 1 of 2 words

  2. 9 Aug 2005: "!# $%& %'()#,&-##)./10324 56&-786&9: ;#<: =;#: >?@-<;A66"B9: ;#<: =;#: >? C<DFEGHIJBGKMLONQPLSRLTU(VQLP LXWZYQ[&R]ARR[&T_T_UVALO]QRLOBaNFLPSL=NQU ]bWBcdP ]QNA[eTAdfUf[&ghNQPBiLRU P]QSU]QP LjWBTQYhLdghU[&ThPLBiLP kXWlc&dP
  3. Learning New Articulator Trajectories for a Speech Production…

    mi.eng.cam.ac.uk/reports/svr-ftp/auto-pdf/blackburn_icnn95.pdf
    9 Aug 2005: This minimal amount of parameter optimisation per iteration was necessary to ensure smooth convergence to an op-timal set of input values, and the MSE decreased during training from 1.5007
  4. 9 Aug 2005: b)yogP_SYjEogZEV=FPWnco,o4o%PSpNV]acV=V]ZRoMLV j@oMRQ6NHTVV=b)oP_SRaRKP_aOaQTLYVqtKZnSaQTLYV )@=KgZNVOSV]¢HZEV=SKWog6To,rsVqtT<j Ë!TtqÍFNnKZnS. ... O<_OJKMLONHPRQTSUWVX[ZHQ6MV]P_QTacb dfZEUgQ6ZEV=V]PRQ6ZEU hiV]jnKP_aRLYV]ZHaâk8VrHZQTrKgV]j@oP_acDM«
  5. Automatic Face Recognition for Film Character Retrieval in…

    mi.eng.cam.ac.uk/reports/svr-ftp/oa214_CVPR_2005_paper2.pdf
    8 Aug 2005: 2.5.1 Improving Registration. In the registration method proposed in Section 2.2, the op-timal warp parameters were estimated from 3 point corre-spondences in 2D.
  6. 9 Aug 2005: õ èRéüËàbé_ßAâmÛ;âmÛ;òP @.&! / # # $#wRêèRäiÑ,4,Û;èPÑ@Ð,ð;ðTÑ 437 ;Ð0PÐ.22,;Ñ. mÐ41 3 ' ébÜwâmÞßAÛT0> 8ÂâmÛ;òRâmÛ;òýôå,ð8ÜwébðäßáÛ;ÜwëVíèRé4éÜwòRéÜwëiæëbâmèRÛT8ãwäZßáëbëbâ Pã
  7. Contour-Based Learning for Object Detection Jamie ShottonDepartment…

    mi.eng.cam.ac.uk/reports/svr-ftp/shotton_iccv05.pdf
    8 Aug 2005: Horses were investigatedbriefly in [7] but poor results were obtained. 3Note that ROC curves are not ideal for the task of detection, as op-posed to classification; see [1] for more
  8. stenger_imavis06.dvi

    mi.eng.cam.ac.uk/reports/svr-ftp/stenger_imavis06.pdf
    21 Sep 2006: Figure 11 illustrates the op-eration of the classifiers at different levels of the tree.
  9. An Investigation into the Interactions betweenSpeaker Diarisation…

    mi.eng.cam.ac.uk/reports/svr-ftp/tranter_tr464.pdf
    9 Oct 2003: The first, called ”who spoke when”consists of automatically producing a series of start/end time marks with associated speaker (and op-tionally gender) labels. ... The RT-03s diarisation evaluation focused only on producing a segmentation with
  10. 9 Aug 2005: "$#%"'&( ),!-"."'0/1%2(/34! 5677)28,"9:8:"9. -"9(";< (1:"$#+"95. =9>@?A>CBEDGFIHJ KL>CM>AN$DOQPRJSTDJU$V0WYXZ[]_0acb9d[efagZGhi[jik-lCdm_n[odmapagZ[odm_ q.aGrsVQZGjWcagdjptuU$V0WYXZ[]_0aftEbvd[jap]-w.[ods_f]xfW. yzL{C|}cy<c|$[h rsVQrEagZ
  11. 8 Mar 2000: "#$%& (' ) ,-. /&. 02143517698:8:;=<?>A@B;:CED:FHG=1IGJ1LKM;ONP<I<QDRF7ST1VU&>AWX@YCZF2[M1]1_(8:8AabNbCcFdST1]e.1fgWhNZiR<jNcakCRFml&1MSonpNcaRqcCsr$t21u691wvx176zyOW|{}{h>qNcakC. CuL&ujd7?PRb?EjoPPuj&7PpAbbs:OPuBjok9JkuPPPL&ujoL¡

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