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robust.dvi
mi.eng.cam.ac.uk/~sjy/papers/heyo04.pdf20 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, -
Multi-domain Neural Network Language Generation forSpoken Dialogue…
mi.eng.cam.ac.uk/~sjy/papers/wgmr16.pdf20 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 -
THE CU-HTK MANDARIN BROADCAST NEWS TRANSCRIPTION SYSTEM R. Sinha, ...
mi.eng.cam.ac.uk/~mjfg/sinha_ICASSP06.pdf22 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. -
Combining I-vector Representation and Structured Neural Networks for…
mi.eng.cam.ac.uk/~mjfg/icassp16_wu.pdf5 Apr 2016: Op-tionally, common layers can be introduced before the basis split-ting or after their combination. -
SPEECH RECOGNITION SYSTEM COMBINATION FOR MACHINE TRANSLATION M.J.F.…
mi.eng.cam.ac.uk/~mjfg/gales_ICASSP07.pdf22 Jun 2007: Thus the C2W segmentations differed. Interms of hypotheses combination there are two possible levels to op-erate at. -
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mi.eng.cam.ac.uk/reports/svr-ftp/auto-pdf/young_uai2001.pdf9 Aug 2005: "!#!$&%'((),-. #/# 01243. 57698;:<8>=@?BADCFEGIHKJ#LNMPORQTSVUWXNOZYVUM[]OZ_aXNSbOcXNUUMPOcXNSedUfTg. h MPi1J f1OZXNSbPjVXk;lMPUU9mBGIHKJ#LNMPORQTSVUaXNSbnRHKX<QGIo p&qrtsubvVwTxzyb{T|I}lb}]N}T. bTN B. -
K. Yu, M.J.F. Gales and P.C. Woodland Cambridge University ...
mi.eng.cam.ac.uk/~mjfg/yu-interspeech07.pdf11 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]. -
ICASSP04-v3.dvi
mi.eng.cam.ac.uk/reports/svr-ftp/wang_icassp2004.pdf25 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 -
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mi.eng.cam.ac.uk/reports/svr-ftp/auto-pdf/robinson_csl91.pdf9 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 -
IB-descriptors.dvi
mi.eng.cam.ac.uk/~cipolla/lectures/PartIB/old/IB-descriptors.pdf11 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. -
A Simple Technique for Self-Calibration
mi.eng.cam.ac.uk/~cipolla/publications/inproceedings/1999-CVPR-Mendonca-self-calibration.pdf13 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 -
Training a real-world POMDP-based Dialogue System Blaise Thomson,…
mi.eng.cam.ac.uk/~sjy/papers/tswy07.pdf20 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). -
Combining Tandem and Hybrid Systems for Improved Speech…
mi.eng.cam.ac.uk/~ar527/rath_is2014a.pdf10 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 -
SVMS, SCORE-SPACES AND MAXIMUM MARGIN STATISTICAL MODELS M.J.F. Gales …
mi.eng.cam.ac.uk/~mjfg/BeyondHMM.pdf15 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. -
A Gaussian Mixture Model Spectral Representation for Speech…
mi.eng.cam.ac.uk/~mjfg/thesis_mns25.pdf16 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. -
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mi.eng.cam.ac.uk/reports/svr-ftp/auto-pdf/witt_euro97.pdf9 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 -
Ghostscript wrapper for C:\Documents and Settings\mike\My…
mi.eng.cam.ac.uk/~cipolla/archive/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, -
Ghostscript wrapper for…
mi.eng.cam.ac.uk/~cipolla/publications/inproceedings/2007-CVPR-Kim-tensor.pdf13 Mar 2018: rize human action and gesture classes in videos. Traditional. approaches based on explicit motion estimation require op-. -
SegNet: A Deep Convolutional Encoder-Decoder Architecture for…
mi.eng.cam.ac.uk/~cipolla/publications/inproceedings/2015-arxiv-SegNet.pdf13 Mar 2018: LeCun. Sceneparsing with multiscale feature learning, purity trees, and op-timal covers. -
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.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. -
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mi.eng.cam.ac.uk/reports/svr-ftp/auto-pdf/valtchev_icassp96.pdf9 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%. -
DEEP-CARVING: Discovering Visual Attributes by Carving Deep Neural…
mi.eng.cam.ac.uk/~cipolla/publications/inproceedings/2015-CVPR-Shankar.pdf13 Mar 2018: ntr. op. y L. os. s. Inp. ut. Ima. ge. L1. -
Discriminative Complexity Control and Linear Projections for Large…
mi.eng.cam.ac.uk/~mjfg/thesis_xl207.pdf16 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 -
Estimation of Epipolar Geometry from Apparent Contours: Affine and…
mi.eng.cam.ac.uk/~cipolla/archive/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 -
stenger_imavis06.dvi
mi.eng.cam.ac.uk/~cipolla/archive/Publications/article/2008-IVC-Stenger.pdf13 Mar 2018: Figure 11 illustrates the op-eration of the classifiers at different levels of the tree. -
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mi.eng.cam.ac.uk/reports/svr-ftp/auto-pdf/senior_fbrnn.pdf9 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 -
Combining Single View Recognition and Multiple View Stereo For ...
mi.eng.cam.ac.uk/~cipolla/archive/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? -
Large scale labelled video data augmentation for semantic…
mi.eng.cam.ac.uk/~cipolla/publications/inproceedings/2017-ICCV-label-propagation.pdf13 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 -
Int J Comput VisDOI 10.1007/s11263-010-0381-3 Incremental Linear…
mi.eng.cam.ac.uk/~cipolla/publications/article/2011-IJCV-Kim.pdf13 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 -
��������� ����� ����������������������������������� ��!#"$�…
mi.eng.cam.ac.uk/reports/svr-ftp/auto-pdf/yow_tr249.pdf9 Aug 2005: qp> _ kB1&('10/?@,<'rQ?@>@=s=#?)65k ;1>A&t8Q0<=M)u vKaUwx. op'-0<DF65'C8! #"$. %&('),-.'0/2143 -
MODEL-BASED TECHNIQUES FORNOISE ROBUST SPEECH RECOGNITION Mark John…
mi.eng.cam.ac.uk/~mjfg/thesis.pdf5 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. -
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mi.eng.cam.ac.uk/reports/svr-ftp/auto-pdf/valtchev_icassp93.pdf9 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! -
Structured and InûniteDiscriminative Models for Speech Recognition…
mi.eng.cam.ac.uk/~mjfg/thesis_jy308.pdf26 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. -
draft21.dvi
mi.eng.cam.ac.uk/~mjfg/ASRU13.pdf7 Nov 2013: designed to optimise KWS performance. They are therefore not op-. timal in terms of raw STT performance, for example currently the. -
paper.dvi
mi.eng.cam.ac.uk/~sjy/papers/youn06.pdf20 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]. -
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mi.eng.cam.ac.uk/reports/svr-ftp/auto-pdf/witt_ltlt97.pdf9 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! -
ZHANG ET AL.: IMAGE RERANKING USING PRETRAINED VISION TRANSFORMERS ...
mi.eng.cam.ac.uk/~cipolla/publications/inproceedings/2022-BMVC-Zhang-Image-Retrieval.pdf13 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 -
A Differential Volumetric Approach to Multi-View Photometric Stereo…
mi.eng.cam.ac.uk/~cipolla/publications/inproceedings/2019-ICCV-Differential-MVPS.pdf12 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. -
��� ����� �� ����������������������� �!�#" $%�&�(')…
mi.eng.cam.ac.uk/reports/svr-ftp/auto-pdf/cipolla_MVA98.pdf9 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& -
A Simple Technique for Self-Calibration
mi.eng.cam.ac.uk/~cipolla/archive/Publications/inproceedings/1999-CVPR-self-calibration.pdf13 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 -
Ghostscript wrapper for C:\Documents and Settings\mike\My…
mi.eng.cam.ac.uk/~cipolla/archive/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, -
paper.dvi
mi.eng.cam.ac.uk/reports/svr-ftp/liu_icassp2004.pdf29 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. -
AAAI Proceedings Template
mi.eng.cam.ac.uk/~sjy/papers/wipy05b.pdf20 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 -
POMDP-based dialogue manager adaptation to extended domains M.…
mi.eng.cam.ac.uk/~sjy/papers/gbhk13a.pdf20 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., -
On-line Active Reward Learning for Policy Optimisationin Spoken…
mi.eng.cam.ac.uk/~sjy/papers/sgmb16.pdf20 Feb 2018: This Gaussian process op-erates on a continuous space dialogue rep-resentation generated in an unsupervisedfashion using a recurrent neural networkencoder-decoder. -
calib.dvi
mi.eng.cam.ac.uk/~cipolla/archive/Publications/inproceedings/2000-ECCV-Malis.pdf13 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 -
Class-based language model adaptation using mixtures ofword-class…
mi.eng.cam.ac.uk/reports/svr-ftp/moore_icslp00.pdf2 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. -
ULTRASONIC IMAGING OF 3DDISPLACEMENT VECTORS USING A SIMULATED 2D ...
mi.eng.cam.ac.uk/reports/svr-ftp/housden_tr669.pdf28 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. -
Multi-view Stereo via Volumetric Graph-cuts G. Vogiatzis1 P. H. ...
mi.eng.cam.ac.uk/reports/svr-ftp/vogiatzis_cvpr2005.pdf31 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. -
A HIGH-PERFORMANCE CANTONESE KEYWORD SEARCH SYSTEM
mi.eng.cam.ac.uk/~mjfg/ICASSP13_ibm2.pdf13 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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