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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. -
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 -
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. -
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. -
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) -
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. -
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. -
Publications
mi.eng.cam.ac.uk/~gmt11/stradwin/publications.htmUltrasound in Medicine and Biology, Vol. 24, No. 6, pp. 855-869, July 1998. -
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. -
Stradview 7.3
mi.eng.cam.ac.uk/~gmt11/stradview/versions.htm24 Jun 2024: wxWidgets in Linux is still version 3.0.5. 7.24, 1st December 2023. -
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. -
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. -
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, -
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. -
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 -
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. -
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. -
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. -
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. -
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. -
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. -
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. -
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]. -
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 -
yeyo06.dvi
mi.eng.cam.ac.uk/~sjy/papers/yeyo06.pdf20 Feb 2018: g(i)jq =. T. t=1. v(t)ii d. (t)jq j, q = 1, , (d 1) (24). ... Markel,”Distance measures for speech processing”,IEEE Transactions on Acoustics, Speech, and Signal Processing, vol.ASSP-24, no.5, pp.380-391, October 1976. -
Practicable Assessment of Cochlear Sizeand Shape from Clinical CT ...
mi.eng.cam.ac.uk/reports/svr-ftp/gee_tr004.pdf27 Jul 2020: CBCT non-planarity 2.47 2.46 3.35 15.7 16.0 14.8 12.1 10.8 8.63reach 9.36 9.16 9.57 26.7 24.7 ... MDCT non-planarity 3.04 3.67 4.52 15.1 14.2 15.5 11.7 10.6 8.3reach 13.6 11.2 10.4 26.3 24.1 -
This article appeared in a journal published by Elsevier. ...
mi.eng.cam.ac.uk/~sjy/papers/inyo0920 Feb 2018: Surprised Sad Angry. wlex 13.67 12.30 18.74wwpos 24.52 11.29 18.47wspos 11.33 4.91 3.31wpofs 1.13 4.82 8.82wppofs 24.27 -
BN-E Experiments in Cambridge Do Yeong Kim, Mark Gales, ...
mi.eng.cam.ac.uk/research/projects/EARS/pubs/kim_sttmar05.pdf12 Apr 2005: 302k 9k+ 16.0 13.9 24.8 –MLE 415k 9k+ 16.0 13.5 24.3 –. 398k 12k+ 16.1 13.6 24.5 –. 302k 9k+ 13.2 11.2 ... dev04 eval03 dev04f. MLEMPron 16.0 13.6 24.5SPron 15.6 13.5 24.2. MPEMPron 12.9 11.1 19.1SPron 12.7 10.8 18.8. -
More Robust Schema-Guided Dialogue State Tracking via…
mi.eng.cam.ac.uk/~wjb31/eacl_2023_CR.pdf1 Mar 2023: lightweight data augmentation for lowresource slot filling and intent classification. In Pro-ceedings of the 34th Pacific Asia Conference on Lan-guage, Information and Computation, PACLIC 2020,Hanoi, Vietnam, October -
A LANGUAGE SPACE REPRESENTATION FOR SPEECH RECOGNITION
mi.eng.cam.ac.uk/~mjfg/icassp15-ragni.pdf18 May 2015: There are many options to select the form of rep-resentation of the clusters and the combination method to employ[18, 17, 13, 24, 25]. ... 20, no. 6, pp. 1713–1724, 2012. [24] V. Diakoloukas and V. -
N-BEST ERROR SIMULATION FOR TRAINING SPOKEN DIALOGUE SYSTEMS Blaise…
mi.eng.cam.ac.uk/~sjy/papers/thgt12.pdf20 Feb 2018: 24, no. 4, pp. 562–588, 2010. [3] R. Sutton and A. -
CAMBRIDGE UNIVERSITY ENGINEERING DEPARTMENT DISCRIMINATIVE…
mi.eng.cam.ac.uk/~mjfg/gales_tr605.pdf13 Aug 2008: In common with other work in this. 5. area [9, 24], G is approximated by the diagonalised empirical covariance matrix of the trainingdata. ... 00 25.48 21.73 25.95 24.46 21.64 26.05 24.51 22.56.
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