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Index of /~wjb31/IIB-2023-24
mi.eng.cam.ac.uk/~wjb31/IIB-2023-24/Index of /wjb31/IIB-2023-24. 28-Apr-2023 10:19 77K. -
CU-HTK March 2001 Hub5 system Phil Woodland, Thomas Hain, ...
mi.eng.cam.ac.uk/reports/svr-ftp/woodland_lvcsr01.pdf31 May 2001: Cambridge UniversityEngineering Department. Hub5 Workshop 24. Woodland, Hain, Evermann & Povey: CU-HTK March 2001 Hub5 system. ... 5 29.2 24.6Rover vote 20.1 25.2 30.2 25.3Rover conf 19.9 24.6 29.8 24.9. -
Covariance Modelling for Noise-Robust Speech Recognition R. C. van ...
mi.eng.cam.ac.uk/~mjfg/vandalen_INTER08.pdf16 Jun 2008: 20 I. 2. –24. yst1yst. yst1. 35 = Dyet (13). where D is the dynamic coefficient matrix and yet is the vectorof static coefficients in the appropriate window. -
MultiMedia Document Retrieval (1997-2000) - References
mi.eng.cam.ac.uk/research/projects/Multimedia_Document_Retrieval/references.html23 Feb 2002: 241-250. 24. S.E. Johnson, P. Jourlin, K Spärck Jones & P.C. -
Engineering Tripos Part IIB, 4F12: Computer Vision, 2023-24
mi.eng.cam.ac.uk/~cipolla/resource/4F12-CV.pdf29 Sep 2023: Engineering Tripos Part IIB, 4F12: Computer Vision, 2023-24. Module Leader. Prof R Cipolla [1]. ... iib-4f12-computer-vision-2023-24. Links[1] mailto:rc10001@cam.ac.uk[2] mailto:rc10001@cam.ac.uk, sma71@cam.ac.uk[3] -
The terrific TV camera
mi.eng.cam.ac.uk/IALego/TV.html1 Jan 2024: The motor (bottom) drives an 8-tooth gear which meshes with a 24-tooth gear, giving a 3:1 reduction. ... The top 24-tooth gear meshes with the 56-tooth black turntable (a further 2.33:1 reduction). -
Machine Intelligence Laboratory
mi.eng.cam.ac.uk/Main/GMT_3dusUltrasound in Medicine and Biology, 24(6):855-869, July 1998. -
wxRegSurf
mi.eng.cam.ac.uk/~ahg/wxRegSurf/5 Oct 2023: Later still, we started exploring cortical parameter estimation on vertebrae, specifically L1 vertebrae [20,24]. ... The effects on the femoral cortex of a 24 month treatment compared to an 18 month treatment with teriparatide: a multi-trial -
Class-based language model adaptation using mixtures ofword-class…
mi.eng.cam.ac.uk/reports/svr-ftp/moore_icslp00.pdf2 Nov 2000: 1003 250 - 225.85 192.66 224.24 187.371003 250 158.98 151.15 158.68 149.371003 500 - 230.96 193.86 228.93 188.111003 500 159.77 -
Index of /~wjb31
mi.eng.cam.ac.uk/~wjb31/IIB-2023-24/ 28-Apr-2023 10:19 -. MLMI/ 28-Sep-2018 12:53 -. MPhil_Thesis_Guangyu_Yang.pdf 21-Nov-2023 16:39 1.8M. ... ppubs/ 24-Oct-2022 20:10 -. video1752767194.mp4 16-May-2023 16:28 62M. Apache/2.2.8 (Linux/SUSE) Server at mi.eng.cam.ac.uk Port 80. -
MORTGAGE DEFAULT: CLASSIFICATION TREES ANALYSIS David Feldman* and…
mi.eng.cam.ac.uk/~mjfg/local/4F10/Feldman_Gross.pdf15 Nov 2005: MORTGAGE DEFAULT: CLASSIFICATION TREES ANALYSIS. David Feldman and Shulamith Gross#. March 24, 2003. ... 24. robust Cross-Validation method. Since it does not have any particular. -
The magnificent modular clock
mi.eng.cam.ac.uk/IALego/clock2.html1 Jan 2024: this movie of the base module being wound manually. The crank turns the two dark grey 24-tooth gears (they might be light grey in your sets). ... The second of these 24-tooth gears powers the rear input of the differential. -
LARGE SCALE DISCRIMINATIVE TRAINING FORSPEECH RECOGNITION P.C.…
mi.eng.cam.ac.uk/reports/svr-ftp/woodland_asr00.pdf6 Nov 2000: Some discriminative training schemes, such as frame-discrimination [14, 24], try to over-generate training set con-fusions to improve generalisation. ... In [24] it was shownthat the improvements obtained by FD were at least as goodas those reported by -
The prodigious pendulum clock
mi.eng.cam.ac.uk/IALego/clock.html1 Jan 2024: On the same axle as the drum is a 40-tooth gear wheel which meshes with the 24-tooth wheel on the differential gear housing. ... This movie shows the clock being wound manually. The 24-tooth winding wheel (the wheel being turned by hand in the movie) -
Unsupervised Bayesian Detection of Independent Motion in Crowds…
mi.eng.cam.ac.uk/reports/svr-ftp/brostow_MotionInCrowdsCVPR06.pdf14 Sep 2006: 24, 18]. Both systems group an image’sspatial features, performing a global annealing optimizationthat propagates the certainty at distinct person-boundaries touncertain areas where those people’s outlines are ambigu-ous. ... 24] P. Tu and J. -
The sizzling steam engine
mi.eng.cam.ac.uk/IALego/steam.html1 Jan 2024: The flywheel rotates faster than the motors, the ratio being (40/16) (24/16) = 3.75. ... The second 24-tooth gear is an idler and does not affect the gear ratios: see the. -
��������� �� �������������������� �������� �"!$#%�…
mi.eng.cam.ac.uk/reports/svr-ftp/sparckjones_cltr517.pdf7 Oct 2001: 8;,=&"vZ$9V K)i!Zi9V ;)Î$9h ;& ;=!"p;) / -,H;&AP,!#P6 %S+[#( 24 )g(>@{7cPU(.( 7;'8;(! ... 9V @24 Ì ' $;S+[ -c.,=",=&8U - PU -"P7,=!)G,=&,=&,H&8g- / -( -,=,Hg",=-;' - -r( -,!K9$(-v> zXx}24 & -)g=![] Ç4',! -
The cracking card factory
mi.eng.cam.ac.uk/IALego/card.html1 Jan 2024: The original design used 8-tooth gears for the outputs, but here we use 24 (for paper feeding, output 1) and 40 (for folding and stamping, outputs 2 and 3 respectively). -
Machine Intelligence Laboratory
mi.eng.cam.ac.uk/Main/RC_ProfessionalJuly 23-24, 1997. Organiser and Co-Chair of the European Conference on Computer Vision 1996,. -
Roberto Cipolla - Professor of Information Engineering
mi.eng.cam.ac.uk/~cipolla/publications_selected.htmIEEE Trans. Pattern Analysis and Machine Intelligence, 24(7):932-946, 2002. ... IEEE Trans. Pattern Analysis and Machine Intelligence, 24(9):1268-1272, September 2002. 2001.. -
Machine Intelligence Laboratory
mi.eng.cam.ac.uk/Main/GMT_4YP_24_1Main > GMT_4YP_24_1. Dr Graham Treece, Department of Engineering. -
Roberto Cipolla - Professor of Information Engineering
mi.eng.cam.ac.uk/~cipolla/publications_arts.htmImage and Vision Computing, 24(6):639-647, June 2006. O. Arandjelovic and R. ... IEEE Trans. Pattern Analysis and Machine Intelligence, 24(3):397-401, March 2002. T. -
References [1] Control-DAG: Constrained decoding for…
mi.eng.cam.ac.uk/~wjb31/PUBS/29 Apr 2024: 2024. To appear at NAACL’24. ... 24] Improving the quality trade-off for neural machine translation multi-domain adaptation. -
Publications
mi.eng.cam.ac.uk/~gmt11/stradwin/publications.htmUltrasound in Medicine and Biology, Vol. 24, No. 6, pp. 855-869, July 1998. -
Index of /~cipolla/archive/Public-Understanding
mi.eng.cam.ac.uk/~cipolla/archive/Public-Understanding/2019-Metail.mp4 24-Apr-2019 11:11 453M. -
DISTRIBUTED DIALOGUE POLICIES FOR MULTI-DOMAIN STATISTICAL…
mi.eng.cam.ac.uk/~sjy/papers/gkty15.pdf20 Feb 2018: 24, no. 4, pp. 562–588, 2010. [13] M Gašić, C Breslin, M Henderson, D Kim, M Szummer,B Thomson, P Tsiakoulis, and S Young, “POMDP-based dia-logue manager adaptation -
Dialogue manager domain adaptation using Gaussian process…
mi.eng.cam.ac.uk/~sjy/papers/gmrs17.pdf20 Feb 2018: SFRName Reward Success #Turnsbest prior 8.66 0.35 85.40 2.19 8.32 0.20adapted 9.62 0.30 89.60 1.90 8.24 0.19. ... The systemwas deployed in a telephone-based set-up, with subjects recruited via Ama-zon MTurk and a recurrent neural network model was used -
Template.dvi
mi.eng.cam.ac.uk/~mjfg/CUED-Chen-RNNLMKWS.pdf22 Mar 2017: Mongolian FLP 511K 24.0K - 4.19 12.19WEB 139M 199.8K 0.93 2.10 5.62. ... 24,no. 11, pp. 2146–2157, 2016. [15] Xie Chen, Yongqiang Wang, Xunying Liu, Mark Gales, andP. -
Improving Cascaded Systems in Spoken Language Processing
mi.eng.cam.ac.uk/~mjfg/thesis_ytl28.pdf5 May 2023: zzzt = σsigmoid(WWW zf xxxt WWWzrhhht1 bbb. z) (2.24). rrrt = σsigmoid(WWW rf xxxt WWWrrhhht1 bbb. -
MULTILINGUAL REPRESENTATIONS FOR LOW RESOURCE SPEECH RECOGNITION AND…
mi.eng.cam.ac.uk/~mjfg/asru15_cui.pdf23 May 2016: The input features are 24-dimensionallog Mel magnitude spectrum filter banks, pitch, probability of voic-ing, and their derivatives. ... 24, no. 3, pp. 433–444, 2010. [36] Nobuyasu Itoh, Tara N Sainath, Dan Ning Jiang, Jie Zhou, andBhuvana Ramabhadran, -
CU-HTK April 2002 Switchboard System Phil Woodland, Gunnar Evermann,…
mi.eng.cam.ac.uk/reports/svr-ftp/woodland_rt02.pdf5 Jun 2002: 16 20 24 2833. 33.5. 34. 34.5. 35. 35.5. 36. 36.5. ... Cambridge UniversityEngineering Department. Rich Transcription Workshop 2002 24. Woodland, Evermann, Gales, Hain, Liu, Moore, Povey & Wang: CU-HTK April 2002 Switchboard system. -
POMDP-based dialogue manager adaptation to extended domains M.…
mi.eng.cam.ac.uk/~sjy/papers/gbhk13a.pdf20 Feb 2018: Computer Speech and Language,24(4):562–588. B Thomson, M Gašić, M Henderson, P Tsiakoulis, andS Young. ... Computer Speech and Language, 24(2):150–174. B Zhang, Q Cai, J Mao, E Chang, and B Guo.2001. -
The Hidden Information State model: A practical framework for…
mi.eng.cam.ac.uk/~sjy/papers/ygkm10.pdf20 Feb 2018: S. Young et al. / Computer Speech and Language 24 (2010) 150–174 151. ... 152 S. Young et al. / Computer Speech and Language 24 (2010) 150–174. -
A HIGH-PERFORMANCE CANTONESE KEYWORD SEARCH SYSTEM
mi.eng.cam.ac.uk/~mjfg/ICASSP13_ibm2.pdf13 Jun 2013: with 24% speaking the Central Guangdong, 20%the Northern Pearl River Delta, 19% the Southern Pearl River Delta,19% the Guangxi and Western Guangdong, and 18% the NorthernGuangdong dialects. ... System combination is performed using an -
IEEE TRANS. ON ASLP, TO APPEAR, 2011 1 Continuous ...
mi.eng.cam.ac.uk/~sjy/papers/yuyo11.pdf20 Feb 2018: This mixed excitation model hasbeen shown to give significant improvements in the quality ofthe synthesized speech [24]. ... 63.5% 36.5%Male. CF-HMM. 75.5% 24.5%. 0% 25% 50% 75% 100%. Female. -
EFFICIENT LATTICE RESCORING USINGRECURRENT NEURAL NETWORK LANGUAGE…
mi.eng.cam.ac.uk/~mjfg/xl207_ICASSP14a.pdf28 Apr 2014: Instead, previous research has beenfocused on using N-best list rescoring for RNNLM performanceevaluation [13, 14, 26, 27, 24]. ... 21, no. 3, pp. 492–518,2007. [24] Y. Si, Q. Zhang, T. -
paper.dvi
mi.eng.cam.ac.uk/~mjfg/ragni_ICASSP11.pdf11 Mar 2011: 24, pp. 648–662, 2010. [4] I. Tsochantaridis, T. Joachims, T. Hofmann, and Y. -
Addressing Objects and Their Relations:The Conversational Entity…
mi.eng.cam.ac.uk/~sjy/papers/ubcr18.pdf3 Jul 2018: shows that the CEDM learns to address a relationin up to 24.5% of all dialogues for r = 1.0. ... Computer Speech & Lan-guage, 24(2):150–174. Steve J. Young, Milica Gašić, Blaise Thomson, and Ja-son D. -
Optimisation for POMDP-based Spoken Dialogue Systems M. Gašić, F.…
mi.eng.cam.ac.uk/~sjy/papers/gjty12.pdf20 Feb 2018: To obtain a closed formsolution of (24), the policy π must be differentiable with respect to θ. ... 10. To lower the variance of the estimate of the gradient, a constant baseline, B, can beintroduced into (24) without introducing any bias [22]. -
IEEE TRANSACTIONS ON AUDIO, SPEECH, AND LANGUAGE PROCESSING, JANUARY…
mi.eng.cam.ac.uk/~sjy/papers/gayo14.pdf20 Feb 2018: An advantage of this sparsification approach is that itenables non-positive definite kernel functions to be used in theapproximation, for example see [24]. ... It has already beenshown that active learning has the potential to lead to fasterlearning [24] -
Phrase-based Statistical Language Generation usingGraphical Models…
mi.eng.cam.ac.uk/~sjy/papers/mgjk10.pdf20 Feb 2018: Com-puter Speech & Language, 24(4):562–588, 2010. Y. Tokuda, T. Yoshimura, T. ... Computer Speech and Language,24(2):150–174, 2010. -
On-line Active Reward Learning for Policy Optimisationin Spoken…
mi.eng.cam.ac.uk/~sjy/papers/sgmb16.pdf20 Feb 2018: Thomson and Young2010] Blaise Thomson and SteveYoung. 2010. Bayesian update of dialogue state:A pomdp framework for spoken dialogue systems.Computer Speech and Language, 24:562–588. -
crosseval_diff-reward2b.ps
mi.eng.cam.ac.uk/~sjy/papers/kgjm10.pdf20 Feb 2018: Yu. 2009. The Hidden InformationState model: a practical framework for POMDPbased spoken dialogue management.ComputerSpeech and Language, 24(2):150–174. -
DISCRIMINATIVE SPOKEN LANGUAGE UNDERSTANDINGUSING WORD CONFUSION…
mi.eng.cam.ac.uk/~sjy/papers/hgtt12.pdf20 Feb 2018: 24, no. 4, Oct. 2010. [16] S. J. Young, G. Evermann, M. -
From Discontinuous To Continuous F0 Modelling In HMM-based…
mi.eng.cam.ac.uk/~sjy/papers/yuty10.pdf20 Feb 2018: The feature set includes 24 spectralcoefficients, log F0 and 5 aperiodic component features. -
Bayesian update of dialogue state: A POMDP framework for spoken…
mi.eng.cam.ac.uk/~sjy/papers/thyo10.pdf20 Feb 2018: 564 B. Thomson, S. Young / Computer Speech and Language 24 (2010) 562–588. ... B. Thomson, S. Young / Computer Speech and Language 24 (2010) 562–588 565. -
4F12-notes-4.dvi
mi.eng.cam.ac.uk/~cipolla/lectures/4F12/Slides/4F12-notes-4.pdf2 Nov 2023: 12 p. ′13 p. ′14. p′21 p′22 p. ′23 p. ′24. ... vp24)p22. p′24. . . . . . Z. . . . -
A Benchmarking Environment for ReinforcementLearning Based Task…
mi.eng.cam.ac.uk/~sjy/papers/cbsm17.pdf20 Feb 2018: In Proceedings of ACL, 2017. [24] Nikola Mrkšić, Diarmuid Ó Séaghdha, Blaise Thomson, Milica Gašić, Pei-Hao Su, DavidVandyke, Tsung-Hsien Wen, and Steve Young. ... Computer Speech & Language, 24(2):150–174, 2010. [53] Steve Young, Milica -
Paper8-CV-intro.dvi
mi.eng.cam.ac.uk/~cipolla/lectures/PartIB/2024-IB-Paper8-CV-Introduction.pdf1 May 2024: 2D array I(x,y,t) incomputer memory. CCD. • A typical digital SLR CCD measures about 24 16 mm. -
STRUCTURED DISCRIMINATIVE MODELS USING DEEP NEURAL-NETWORK FEATURES…
mi.eng.cam.ac.uk/~mjfg/vandalen_ASRU15.pdf12 Jul 2016: MPE— 7.15 11.06 14.37 24.54 16.79CML 6.95 11.00 14.29 24.39 16.68large-margin 7.02 10.92 14.16 24.28 ... Therefore the systems use graphemic lex-ica generated using an approach which is applicable to all Unicodecharacters [24].
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