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  1. Results that match 1 of 2 words

  2. robust.dvi

    mi.eng.cam.ac.uk/~sjy/papers/heyo04.pdf
    20 Feb 2018: 4.2 Log-Linear Interpolation. Log-linear interpolation has been applied to languagemodel adaptation and has been shown to be equivalentto a constrained minimum Kullback-Leibler distance op-timisation problem(Klakow,
  3. 20 Feb 2018: By op-timising directly against the desired objective func-tion such as BLEU score (Auli and Gao, 2014) orWord Error Rate (Kuo et al., 2002), the model canexplore its output space
  4. 22 Nov 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.
  5. 5 Apr 2016: Op-tionally, common layers can be introduced before the basis split-ting or after their combination.
  6. 22 Jun 2007: Thus the C2W segmentations differed. Interms of hypotheses combination there are two possible levels to op-erate at.
  7. 9 Aug 2005: "!#!$&%'((),-. #/# 01243. 57698;:<8>=@?BADCFEGIHKJ#LNMPORQTSVUWXNOZYVUM[]OZ_aXNSbOcXNUUMPOcXNSedUfTg. h MPi1J f1OZXNSbPjVXk;lMPUU9mBGIHKJ#LNMPORQTSVUaXNSbnRHKX<QGIo p&qrtsubvVwTxzyb{T|I}lb}]N}T. bTN B.
  8. K. Yu, M.J.F. Gales and P.C. Woodland Cambridge University ...

    mi.eng.cam.ac.uk/~mjfg/yu-interspeech07.pdf
    11 Jan 2008: The selected data are addedto the original training dataset to update the acoustic model and op-tionally the language model [3, 1, 4].
  9. ICASSP04-v3.dvi

    mi.eng.cam.ac.uk/reports/svr-ftp/wang_icassp2004.pdf
    25 May 2004: To evaluate MPE-based DLT for supervised adaptation, thefull decoding with 5K word vocabulary and a bigram LM is op-erated and then the generated lattices are expanded with a trigramLM
  10. 9 Aug 2005: m)m)d¡m8d0e)op_ lHclngfda¡hne8e)dhm8uwxf{e8_ult iHch.kgm8e.ch.kg_ ltI]drhnopb{mc4m)_ n(lJc46unFcfn1m)_Yac4bIbe8nc(h. ... hd?c4lHct(d0opdGlgmUm.cak/P&l_ m)_Yc4ge)da{um.aHcGdi-d0dGlrbe8d!ad0lQm8dfq+I_Yh ce8da#_ op_uYc4e;m8njm8d gS1#ÇawIam8dGo _ulr_ m.a
  11. IB-descriptors.dvi

    mi.eng.cam.ac.uk/~cipolla/lectures/PartIB/old/IB-descriptors.pdf
    11 May 2010: The way to achieve this robustness is to utilize in-terest points in computing the descriptor as op-posed to the raw image data.
  12. A Simple Technique for Self-Calibration

    mi.eng.cam.ac.uk/~cipolla/publications/inproceedings/1999-CVPR-Mendonca-self-calibration.pdf
    13 Mar 2018: 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
  13. 20 Feb 2018: Hence defining an op-timal summary policy is not so obvious. If f is chosenwell, however, then one could hope that the optimal ac-tion is dependent only on f (b).
  14. Combining Tandem and Hybrid Systems for Improved Speech…

    mi.eng.cam.ac.uk/~ar527/rath_is2014a.pdf
    10 Nov 2014: More specif-ically, for the IV search, each query is converted to a wordweighted finite state acceptor (WFSA) and a composition op-eration is carried out with the word index in
  15. 15 Jun 2005: This comes directly fromequation 19. It is interesting to contrast this to MMI training [11].In MMI training the average posterior of the correct label is op-timised.
  16. 16 Nov 2007: Op-Room noise for noise matched models retrained with corrupted training data 119. ... ment a clean speech system on RM task corrupted with Op-Room noise at 18dB.
  17. 9 Aug 2005: M<M<M<MN<N<N<N<NN<N<N<N<N. Phoneme. O?OO?OO?OP?PP?PP?P Q<Q<Q<Q<Q<QR<R<R<R<R
  18. Ghostscript wrapper for C:\Documents and Settings\mike\My…

    mi.eng.cam.ac.uk/~cipolla/archive/Publications/invitedTalk/2003-MOS-handtracking.pdf
    13 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,
  19. Ghostscript wrapper for…

    mi.eng.cam.ac.uk/~cipolla/publications/inproceedings/2007-CVPR-Kim-tensor.pdf
    13 Mar 2018: rize human action and gesture classes in videos. Traditional. approaches based on explicit motion estimation require op-.
  20. SegNet: A Deep Convolutional Encoder-Decoder Architecture for…

    mi.eng.cam.ac.uk/~cipolla/publications/inproceedings/2015-arxiv-SegNet.pdf
    13 Mar 2018: LeCun. Sceneparsing with multiscale feature learning, purity trees, and op-timal covers.
  21. Multi-view Stereo via Volumetric Graph-cuts G. Vogiatzis1 P. H. ...

    mi.eng.cam.ac.uk/~cipolla/archive/Publications/inproceedings/2005-CVPR-Vogiatzis-multi-view.pdf
    13 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.
  22. � � � � � � � ��� � ...

    mi.eng.cam.ac.uk/reports/svr-ftp/auto-pdf/valtchev_icassp96.pdf
    9 Aug 2005: N%BO12%B<? %OP<Q;9:R6S%:T:C9#::C <12%U.V79:W1X%'),-JYZ#PE&'$ <1=1>? %A.N%I12.O(. [ > @D5#:C%&#(;]X B<@%J> B41IX<%_ #$ ... Ua>c]d>ef. _m[. OP"QRS h _[ _[ _[! #"#$ %UTr(4V %? 9@DB> 1h> 9BL:C%.
  23. DEEP-CARVING: Discovering Visual Attributes by Carving Deep Neural…

    mi.eng.cam.ac.uk/~cipolla/publications/inproceedings/2015-CVPR-Shankar.pdf
    13 Mar 2018: ntr. op. y L. os. s. Inp. ut. Ima. ge. L1.
  24. 16 Nov 2007: Discriminative Complexity Control. and Linear Projections for Large. Vocabulary Speech Recognition. Xunying Liu. Clare Hall. University of Cambridge. September 2005. Dissertation submitted to the University of Cambridge. for the degree of Doctor of
  25. Estimation of Epipolar Geometry from Apparent Contours: Affine and…

    mi.eng.cam.ac.uk/~cipolla/archive/Publications/inproceedings/1999-CVPR-affine-frontiers.pdf
    13 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
  26. stenger_imavis06.dvi

    mi.eng.cam.ac.uk/~cipolla/archive/Publications/article/2008-IVC-Stenger.pdf
    13 Mar 2018: Figure 11 illustrates the op-eration of the classifiers at different levels of the tree.
  27. 9 Aug 2005: #"!$%"&'(). ,.-0/214365 7836-:9<;=1?> @A;=-2B$C.;ED:9F-0GH;=-IKJML.NOQPSRTMUWVYXPSZMU[OQ]P_acb:XTMP_XdU[U[OQPSXT#efU[gdJhOQ]L#U[X6i OQjLgPSXTh]khX#l6]OQU[UH[mnIKJhL.NO]PSRThU4m6b:XThoSJMXR. prqWsMtuv:wEtiYx PS#gJMg=U[ORU[]y[OQPSNEU[% x
  28. Combining Single View Recognition and Multiple View Stereo For ...

    mi.eng.cam.ac.uk/~cipolla/archive/Publications/inproceedings/2001-ICCV-Dick-combining.pdf
    13 Mar 2018: Having maximised the likelihood of each primitive, amodel selection criterion is used to decide whether the op-tional parameters A?
  29. Large scale labelled video data augmentation for semantic…

    mi.eng.cam.ac.uk/~cipolla/publications/inproceedings/2017-ICCV-label-propagation.pdf
    13 Mar 2018: However, in contrast to image classification and somedeep learning lead problems of computer vision, semanticsegmentation (especially for autonomous driving) still op-erates on limited size datasets which do not exceed 5000labelled
  30. Int J Comput VisDOI 10.1007/s11263-010-0381-3 Incremental Linear…

    mi.eng.cam.ac.uk/~cipolla/publications/article/2011-IJCV-Kim.pdf
    13 Mar 2018: Int J Comput VisDOI 10.1007/s11263-010-0381-3. Incremental Linear Discriminant Analysis Using SufficientSpanning Sets and Its Applications. Tae-Kyun Kim Björn Stenger Josef Kittler Roberto Cipolla. Received: 14 December 2009 / Accepted: 10
  31. 9 Aug 2005: qp> _ kB1&('10/?@,<'rQ?@>@=s=#?)65k ;1>A&t8Q0<=M)u vKaUwx. op'-0<DF65'C8! #"$. %&('),-.'0/2143
  32. 5 Jun 2006: There are many“noise” sources that may affect the speech signal. Firstly, there is the problem of the acoustic environment in which the system is op-erating.
  33. ����� � � � ��� � � ��� � ...

    mi.eng.cam.ac.uk/reports/svr-ftp/auto-pdf/valtchev_icassp93.pdf
    9 Aug 2005: "!$#&%('),.-0/2143.),50/'768),98:<;=3>-?)@3A//')B3C-ED&/FA!'79#G/3.9H'IA#JF.)@3>-$9KL3NMO98'7//P9QC "!0#2%('),(-$/$QR;S3A-LT,!3A+U. HWV.),6XF>!FC/'GF('7/6/3.96E!Y3>/Z[!L'7V(),9/98I('7/]Z"V()_V)B3R9/-?'7!$9/6'7/PI.''7/a3.9=)@3(F.I>9b98'7!3>68cdKL'7#G!
  34. 26 Jul 2016: Structured and InûniteDiscriminative Models for. Speech Recognition. Jingzhou YangHomerton College. Department of Engineering. University of Cambridge. A thesis submitted to the University of Cambridge for the degree of. Doctor of Philosophy.
  35. draft21.dvi

    mi.eng.cam.ac.uk/~mjfg/ASRU13.pdf
    7 Nov 2013: designed to optimise KWS performance. They are therefore not op-. timal in terms of raw STT performance, for example currently the.
  36. paper.dvi

    mi.eng.cam.ac.uk/~sjy/papers/youn06.pdf
    20 Feb 2018: However,approx-imate solutions can still provide useful policies. The simplest ap-proach is to discretise belief space and then use standard MDP op-timisation methods [6].
  37. 9 Aug 2005: C 38+/ B9:-<="!87 /7:(ED. 0+/B7 B7:, B7 C 7:,/ B"> 5 2.0!87$97 "#A2<="!/7 1F 7HG :IKJ:LNM OP áá 8 76Záá 8 8 1Q!
  38. ZHANG ET AL.: IMAGE RERANKING USING PRETRAINED VISION TRANSFORMERS ...

    mi.eng.cam.ac.uk/~cipolla/publications/inproceedings/2022-BMVC-Zhang-Image-Retrieval.pdf
    13 Mar 2023: 3. We apply the attention-based relevancy maps tied to vision transformers to guide op-timal transport optimization and further validate the effectiveness of partial optimaltransport for dataset showing strong viewpoint
  39. A Differential Volumetric Approach to Multi-View Photometric Stereo…

    mi.eng.cam.ac.uk/~cipolla/publications/inproceedings/2019-ICCV-Differential-MVPS.pdf
    12 Aug 2019: Recently, Park etal. [35] proposed a refinement method by computing an op-tical displacement map in the same 2D planar domain of thephotometric stereo images.
  40. 9 Aug 2005: #" $%&(') ',(.-/"0')1#. 23547698;:<3>=?A@735BABAC DEGF>3IHGEKJL3NMI698O&6P@QCI8;:<F>6PH!:3IRSDHGTI?AHG6P698<?UHGTGVW HG?YX5698;Z<?Y:M[3IR)=CIF 4G8;?AEGT56V=CIF]4G8<?UEGT56=J_ba/cLdSVeWfhg. ikjmlonGpQqsrtn. uwvxyNz|{Q} };7t N;{{GxyN}N N;5;PzvN&
  41. A Simple Technique for Self-Calibration

    mi.eng.cam.ac.uk/~cipolla/archive/Publications/inproceedings/1999-CVPR-self-calibration.pdf
    13 Mar 2018: 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
  42. Ghostscript wrapper for C:\Documents and Settings\mike\My…

    mi.eng.cam.ac.uk/~cipolla/archive/Publications/inproceedings/2003-MOS-handtracking.pdf
    13 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,
  43. paper.dvi

    mi.eng.cam.ac.uk/reports/svr-ftp/liu_icassp2004.pdf
    29 May 2004: Structural op-timization was then performed in two stages. First the number ofcomponents per state was determined for a standard non-HLDA 28component system.
  44. AAAI Proceedings Template

    mi.eng.cam.ac.uk/~sjy/papers/wipy05b.pdf
    20 Feb 2018: S. sn. nsbsb. 1. )()(maxargˆ)( υππ (16). Thus the value-function method provides both a parti-tioning of belief space into regions corresponding to op-timal actions as well as the
  45. 20 Feb 2018: Thisprovides increased robustness to errors in speechunderstanding and automatic dialogue policy op-timisation via reinforcement learning (Roy et al.,2000; Zhang et al., 2001; Williams and Young,2007; Young et al.,
  46. 20 Feb 2018: This Gaussian process op-erates on a continuous space dialogue rep-resentation generated in an unsupervisedfashion using a recurrent neural networkencoder-decoder.
  47. calib.dvi

    mi.eng.cam.ac.uk/~cipolla/archive/Publications/inproceedings/2000-ECCV-Malis.pdf
    13 Mar 2018: " #$% #&')(,%-&-./0 #1%2%-&-3145 6789. ,9:0;) ". <>=-?A@CB,D4EA?GFHDJIKML@JNPO-QSRS@7TH?AU2@VEAEAD. WXZY%[XV] ]_[XZYa]_bdc-feg+]_X4ehVic-g&jJ[lkJY%]mHXZ[no]_pf[qesrt2uVgbZ[XZY-ev%Xxwyef] ]_ehZiz{'| }0ic-g&jJ[lkJY%]. -ZyP%Joo%y-o-yf%_yPoyo
  48. Class-based language model adaptation using mixtures ofword-class…

    mi.eng.cam.ac.uk/reports/svr-ftp/moore_icslp00.pdf
    2 Nov 2000: recognition strategy. The best overall results were obtainedusing 1003 classes and a 50 topic model with weights op-timised using the EM algorithm.
  49. ULTRASONIC IMAGING OF 3DDISPLACEMENT VECTORS USING A SIMULATED 2D ...

    mi.eng.cam.ac.uk/reports/svr-ftp/housden_tr669.pdf
    28 Jun 2011: For the in vitro scan, we used a ULA-OP (Università degli Studi di Firenze, Italy) scannerwith a LA523 (Esaote, Genoa, Italy) linear array probe.
  50. Multi-view Stereo via Volumetric Graph-cuts G. Vogiatzis1 P. H. ...

    mi.eng.cam.ac.uk/reports/svr-ftp/vogiatzis_cvpr2005.pdf
    31 Mar 2005: 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.
  51. A HIGH-PERFORMANCE CANTONESE KEYWORD SEARCH SYSTEM

    mi.eng.cam.ac.uk/~mjfg/ICASSP13_ibm2.pdf
    13 Jun 2013: The second application of sum-to-one normalization op-timizes the term-weighted value for queries with different frequen-cies of occurrence.

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