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IEICE TRANS. ??, VOL.Exx–??, NO.xx XXXX 200x1 INVITED PAPER ...
mi.eng.cam.ac.uk/~mjfg/gales_IEICE06.pdf21 Nov 2006: In these situations, an op-timal hyperplane is found to minimise the probabilityof error, averaged over the training set. -
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mi.eng.cam.ac.uk/reports/svr-ftp/auto-pdf/yow_accv95.pdf9 Aug 2005: "!#$%&"'(%&). ,-/.1023435.67398 :9.<;>=3@?<ACBDE3 0-/FG3@HIHJ:KLACFM:NBDEOAC.PD3NQR.6@-I.ACASB-I.6T.-IU4ACBWVX-/DXYZ3NQ[0:9O?B-];P65A. 0:NO?B-J;65AZ0_[ aSbdce<R.6@H]:9.<;. fghji9k9lm5in&o9prqPs5tus5vwxCvXqzy -
Hole Filling Through Photomontage Marta Wilczkowiak∗, Gabriel J.…
mi.eng.cam.ac.uk/reports/svr-ftp/brostow_HoleFillingBMVC05.pdf14 Sep 2006: Now the problem of finding an op-timal replacement of pixels in patch p′ from those in patch m′ is equivalent to finding apath in the graph such that the error -
Towards Qualitative Vision: Motion Parallax Andrew Blake, Roberto…
mi.eng.cam.ac.uk/~cipolla/publications/inproceedings/1990-BMVC-parallax.pdf13 Mar 2018: 22WVlA = -V2U. (4). Here V and V2 are dimensionless projection op-erators involving combinations of projections intoimage and surface tangent planes. -
Filtering Using a Tree-Based Estimator B. Stenger∗ A. Thayananthan∗…
mi.eng.cam.ac.uk/reports/svr-ftp/thayananthan_iccv03.pdf8 Aug 2005: Filtering Using a Tree-Based Estimator. B. Stenger A. Thayananthan P. H. S. Torr† R. Cipolla. University of Cambridge † Microsoft Research Ltd.Department of Engineering 7 JJ Thompson AvenueCambridge, CB2 1PZ, UK Cambridge, CB3 OFB, UK. -
Still Talking to Machines (Cognitively Speaking) Steve Young…
mi.eng.cam.ac.uk/~sjy/papers/youn10a.pdf20 Feb 2018: However, to generate an appropriate response it is onlynecessary for the system to decide between a few high level op-tions such as to confirm the last user input, ask for -
A Comparative Study of Methods forPhonetic Decision-Tree State…
mi.eng.cam.ac.uk/reports/svr-ftp/auto-pdf/nock_euro97.pdf9 Aug 2005: Thus, although the baseline systems were op-timised over a limited range of thresholds, the figures obtainedare still susceptible to some degree of noise. -
main.dvi
mi.eng.cam.ac.uk/~sjy/papers/youn0720 Feb 2018: The advantage of this approach is that the op-timal transformation parameters can be determinedfrom the auxiliary function in a single pass over thedata[63]. -
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mi.eng.cam.ac.uk/~cipolla/publications/inproceedings/1994-BMVC-Lawn.pdf13 Mar 2018: "!# $%& %'()#,&-##)./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 -
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mi.eng.cam.ac.uk/reports/svr-ftp/auto-pdf/lawn_bmvc94.pdf9 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 -
lf3.dvi
mi.eng.cam.ac.uk/~mjfg/local/4F10/lum.pdf11 Nov 2005: understanding andsupporting the goals of people highlights the rich op-portunities ahead for harnessing probability and utilityat the computer{human interface. -
MVA'94 IAPR Workshop on Machine Vision Applications Dec. 13-15,…
mi.eng.cam.ac.uk/~cipolla/archive/Publications/inproceedings/1994-MVA-pointing.pdf13 Mar 2018: Performance. By observing feedback from the robot, the op- erator is able to position the gripper to within lcm: sufficient accuracy to instruct it to pick up n small wootlcn Ilock -
A Simple Technique for Self-Calibration
mi.eng.cam.ac.uk/reports/svr-ftp/mendonca_self-calibration.pdf10 Aug 1999: This goal is achieved by solving an op-timization problem by numerical techniques, searching di-rectly for the intrinsic parameters of the cameras, instead ofthe indirect search performed by the algorithms -
main.dvi
mi.eng.cam.ac.uk/~sjy/papers/ywss05.pdf20 Feb 2018: ruleset = ruledef";" { ruledef ";" } {dbasefile}ruledef = lassdef | lexdef lassdef = lassinst "->" [sub lass [ lassbody [ ond [prob lassbody = "(" [opt member { "," [opt member } ")"lexdef = lassinst "=" "(" atom[prob {"|" atom[prob ")"prob = "{" -
Reward Estimation for Dialogue Policy Optimisation Pei-Hao Su, Milica …
mi.eng.cam.ac.uk/~sjy/papers/sugy18.pdf20 Feb 2018: Note that the reward model and the dialogue policy are being jointly op-timised during the sequence of dialogues. -
Multi-Sensory Face Biometric Fusion (for Personal Identification)…
mi.eng.cam.ac.uk/reports/svr-ftp/arandjelovic_OTCBVS06.pdf19 Mar 2006: The optimal. values were found to be2.3 and6.2 for visual data; the op-timal filter for thermal data was found to be alow-passfilterwith W2 = 2.8 (i.e. -
A NEURAL NETWORK BASED, SPEAKER INDEPENDENT, LARGE…
mi.eng.cam.ac.uk/reports/svr-ftp/auto-pdf/wernicke_eurospeech93.pdf9 Aug 2005: 1.3. ComputingThe HMM-ANN approach is very computationally expensive.The networks currently require about 1013 floating point op-erations to train and future estimates of the required computepower is one -
PoseNet: A Convolutional Network for Real-Time 6-DOF Camera…
mi.eng.cam.ac.uk/~cipolla/publications/inproceedings/2015-ICCV-relocalisation.pdf13 Mar 2018: engineering or graph op-timisation. ... This demonstrates that learning with the op-timum scale factor leads to the convnet uncovering a more accuratepose function. -
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mi.eng.cam.ac.uk/reports/svr-ftp/auto-pdf/james_icassp94.pdf9 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« -
Journal of VLSI Signal Processing manuscript No.(will be inserted ...
mi.eng.cam.ac.uk/~mjfg/layton_JVLSI07.pdf22 Nov 2006: Theseallow high-dimensional kernel feature-spaces to be de-fined and calculated using only simple transducer op-erations on discrete sequences (or lattices) of observa-tions. -
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: l>SZ'C< 3)OP@j- /);@)f;@!;@j7r) V h[H&M5@)(Af)(>-@ 5 I "HI@EHH)&O})(47)7O;<<?@)(9jAf @@Af3)VX C 3 I"j#f@B < f@C# ... Hl@H-)( (B )(.>#B 4P47(#;47(,4> '6:>o6; H(# q>9Km>o. @#>19I. #AY[>oP>o6;-<V<>_$@E3SRTA6CSÇ4(-Vdf)(T3)&H-mKMC (-"!IC5O})(/H-)( &)(&J! -
yu.dvi
mi.eng.cam.ac.uk/research/projects/AGILE/publications/ky_ICASSP06.pdf23 Feb 2006: HU }. Various levels of informationcan be propagated. 1. No information: The lower bound for allU utterances is op-timised. -
Learning New Articulator Trajectories for a Speech Production…
mi.eng.cam.ac.uk/reports/svr-ftp/auto-pdf/blackburn_icnn95.pdf9 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 -
THE CU-HTK MANDARIN BROADCAST NEWS TRANSCRIPTION SYSTEM R. Sinha, ...
mi.eng.cam.ac.uk/research/projects/AGILE/publications/rs_ICASSP06.pdf23 Feb 2006: The op-erating point selected for this work was to use the 1 hour of Englishdata from the TDT4 Mandarin source, along with 10 hours of datafrom the TDT4 English data. -
An Investigation into the Interactions betweenSpeaker Diarisation…
mi.eng.cam.ac.uk/reports/svr-ftp/tranter_tr464.pdf9 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 -
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mi.eng.cam.ac.uk/reports/svr-ftp/auto-pdf/freitas_saiee.pdf9 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 -
Automatic Face Recognition for Film Character Retrieval in…
mi.eng.cam.ac.uk/reports/svr-ftp/oa214_CVPR_2005_paper2.pdf8 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. -
SSVM_LVCSR.dvi
mi.eng.cam.ac.uk/~mjfg/sxz_TASLP12.pdf19 Oct 2012: ALGORITHM WITHOUT /WITH OP TIMIS ING θ AND 1-S LACK ALGORITHMSWITHOUT/WITH GAUS S IAN P RIOR(A LG. -
Towards Qualitative Vision: Motion Parallax Andrew Blake, Roberto…
mi.eng.cam.ac.uk/~cipolla/archive/Publications/inproceedings/1990-BMVC-parallax.pdf13 Mar 2018: 22WVlA = -V2U. (4). Here V and V2 are dimensionless projection op-erators involving combinations of projections intoimage and surface tangent planes. -
MVA '98 IAPR Workshop on Machine Vision Applications, Nov. ...
mi.eng.cam.ac.uk/~cipolla/publications/inproceedings/1998-MVA-invited.pdf13 Mar 2018: This op- timisation takes into account image gradient in- formation and modifies image point coordinates in order t o position primitive edges along image edges. -
stenger_imavis06.dvi
mi.eng.cam.ac.uk/reports/svr-ftp/stenger_imavis06.pdf21 Sep 2006: Figure 11 illustrates the op-eration of the classifiers at different levels of the tree. -
Stereo Coupled Active Contours Tat-Jen Cham Roberto Cipolla…
mi.eng.cam.ac.uk/~cipolla/publications/inproceedings/1997-CVPR-Cham-contour.pdf13 Mar 2018: The tworight columns show the update actions whichmust be performed for the desired tracking op-eration. -
Annotating large lattices with the exact word error Rogier ...
mi.eng.cam.ac.uk/~mjfg/Kernel/van_dalen-2015-exact_error.pdf16 Jun 2015: They are thereforedefined as 1 , /0 = and 0 , /. 3.1.1. Implementation. The data structures used to implement the automata and the op-erations on them are best expressed mathematically. -
gasic_acltslp.dvi
mi.eng.cam.ac.uk/~sjy/papers/gayo11.pdf20 Feb 2018: actions. The policy op-timisation is performed in interaction with a simulated user which gives a reward to the systemat the end of every dialogue. -
Multi-view Stereo via Volumetric Graph-cuts G. Vogiatzis1 P. H. ...
mi.eng.cam.ac.uk/~cipolla/publications/inproceedings/2005-CVPR-Vogiatzis-multi-view.pdf13 Mar 2018: The reconstructed surface is obtained by solving the op-timisation. Smin = arg minSC. ... Ourmethod has no concept of a current surface during the op-timisation phase, and therefore has to make the visibilityassumption of section 3. -
SPEECH RECOGNITION SYSTEM COMBINATION FOR MACHINE TRANSLATION M.J.F.…
mi.eng.cam.ac.uk/research/projects/AGILE/publications/gales_ICASSP07.pdf10 Oct 2007: Thus the C2W segmentations differed. Interms of hypotheses combination there are two possible levels to op-erate at. -
K. Yu, M.J.F. Gales and P.C. Woodland Cambridge University ...
mi.eng.cam.ac.uk/research/projects/AGILE/publications/yu-interspeech07.pdf10 Oct 2007: The selected data are addedto the original training dataset to update the acoustic model and op-tionally the language model [3, 1, 4]. -
Ghostscript wrapper for C:\Documents and Settings\mike\My…
mi.eng.cam.ac.uk/~cipolla/publications/inproceedings/2003-MOS-handtracking.pdf13 Mar 2018: Hand Tracking Using A Quadric Surface Model. R. Cipolla1 B. Stenger1 A. Thayananthan1 P. H. S. Torr2. 1 University of Cambridge, Department of Engineering, Trumpington Street,Cambridge, CB2 1PZ, UK. 2 Microsoft Research Ltd., 7 J J Thomson Ave, -
EM_spd_D4Tech.dvi
mi.eng.cam.ac.uk/reports/svr-ftp/Shin_TR626.pdf4 Aug 2009: reflectivity function despite the use of almost the same PSF for both forward and backward op-. -
Estimation of Epipolar Geometry from Apparent Contours: Affine and…
mi.eng.cam.ac.uk/~cipolla/publications/inproceedings/1999-CVPR-affine-frontiers.pdf13 Mar 2018: If the angles of the epipolar lines had op-posite signals in respect the horizontal axis, the points putunder correspondence by the epipolar geometry would be atopposite places in the bottom -
Int J Comput Vis (2012) 100:203–215DOI 10.1007/s11263-011-0461-z…
mi.eng.cam.ac.uk/~cipolla/publications/article/2012-IJCV-Shallow-trees.pdf13 Mar 2018: path-length. to train data i.e. good generalisation, however, it is not op-timal in classification time. ... 2008). Random kitchen sinks: replacing op-timization with randomization in learning. In Proc. -
stenger_imavis06.dvi
mi.eng.cam.ac.uk/~cipolla/publications/article/2008-IVC-Stenger.pdf13 Mar 2018: Figure 11 illustrates the op-eration of the classifiers at different levels of the tree. -
KIM et al.: GROWING A TREE FROM DECISION REGIONS ...
mi.eng.cam.ac.uk/~cipolla/publications/inproceedings/2010-BMVC-supertree.pdf13 Mar 2018: Huffman coding [17] is related to our op-timisation. It minimises the weighted (by region prior in our problem) path length of code(region). -
A Unifying Resolution-Independent Formulation for Early Vision∗ Fabio …
mi.eng.cam.ac.uk/~cipolla/publications/inproceedings/2012-CVPR-Viola.pdf13 Mar 2018: Our implementation has been optimizedfor speed at an algorithmic level by use of second order op-timizers, and by limiting the number of polygon clippingsrequired, but has not been micro-optimized. -
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mi.eng.cam.ac.uk/reports/svr-ftp/woodland_eurospeech99.pdf8 Mar 2000: "#$%& (' ) ,-. /&. 02143517698:8:;=<?>A@B;:CED:FHG=1IGJ1LKM;ONP<I<QDRF7ST1VU&>AWX@YCZF2[M1]1_(8:8AabNbCcFdST1]e.1fgWhNZiR<jNcakCRFml&1MSonpNcaRqcCsr$t21u691wvx176zyOW|{}{h>qNcakC. CuL&ujd7?PRb?EjoPPuj&7PpAbbs:OPuBjok9JkuPPPL&ujoL¡ -
Ghostscript wrapper for C:\Documents and Settings\mike\My…
mi.eng.cam.ac.uk/~cipolla/publications/invitedTalk/2003-MOS-handtracking.pdf13 Mar 2018: Hand Tracking Using A Quadric Surface Model. R. Cipolla1 B. Stenger1 A. Thayananthan1 P. H. S. Torr2. 1 University of Cambridge, Department of Engineering, Trumpington Street,Cambridge, CB2 1PZ, UK. 2 Microsoft Research Ltd., 7 J J Thomson Ave, -
Combining Single View Recognition and Multiple View Stereo For ...
mi.eng.cam.ac.uk/~cipolla/publications/inproceedings/2001-ICCV-Dick-combining.pdf13 Mar 2018: Having maximised the likelihood of each primitive, amodel selection criterion is used to decide whether the op-tional parameters A? -
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mi.eng.cam.ac.uk/reports/svr-ftp/auto-pdf/hain_icslp98.pdf9 Aug 2005: #"$ %&' )( ,. -/.1024365 78.:9;.=<?>@>@ACBD245EA. FHGJI'KLNMPORQJSUT=VMDWJSXLZY[MD]_aVRQbMcVRSXSXLNMPVRQed=SXfgG4L[[IhS@ViXjk LNlIhfgMPVRQJnmbVopnLNSXSXXjqFHGJI'KLNMPORQJSFHrtsvuxwtyzjRT={|. }@bEEp4[bR;C? ;. -
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mi.eng.cam.ac.uk/reports/svr-ftp/auto-pdf/kershaw_nips95.pdf9 Aug 2005: " # $&%'( ),.-'/'0!1. 324'/5 # 6 6 78,:9. ,;< =0 > 78$?3@. ACB)DFECG>HJILKMB>N OQPRDTS4U:PRVMWXDIYPZD [&WXRG]CPT_KTVQGHbadcegfih:j)kmlon)p=qgr3s)lot=qLkmuvlxwzy;{|s)pJlos)qLqYkmlos)p;}qLZfikmwmhCqLs>w. -
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mi.eng.cam.ac.uk/reports/svr-ftp/auto-pdf/yow_bmvc95.pdf9 Aug 2005: QNSMJEL?@g;>?dH=#bX@On:4N8Sd E&&9(I-Z/eJf/@sadHN/MS|ETN8SM=/M@OP:4NPSf/@KWETMSJSf/?@Q@-ad>N/MS?|EL:4NSMgEL?@pO:FE
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