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61 - 80 of 1,000 search results for katalk:za33 24 |u:mi.eng.cam.ac.uk where 0 match all words and 1,000 match some words.

  1. Results that match 1 of 2 words

  2. lect1.dvi

    mi.eng.cam.ac.uk/~mjfg/local/4F10/lect1.pdf
    10 Nov 2015: for minimum error with generative models. 24 Engineering Part IIB: Module 4F10 Statistical Pattern Processing.

  3. Unsupervised Language Model Adaptation for Mandarin…

    mi.eng.cam.ac.uk/reports/svr-ftp/mrva_icslp06.pdf
    20 Jan 2007: Test set baseline N-gram adaptfixed weights dynamic weights. dev05bcm (BC) 25.6 24.5eval04 (BN) 14.7 14.8dev04f (BN) 6.4 6.5. ... P3 27.4 25.6 24.5 24.3 24.3. Table 3: P2, P3 stage dev05bcm CERs.

  4. 3_2_ransac

    mi.eng.cam.ac.uk/~cipolla/lectures/4F12/Slides/4F12-ImageStitching.pdf
    27 Oct 2020: x̃2 = [ R2 | 0 ] X̃ = R2X (A.24).

  5. main.dvi

    mi.eng.cam.ac.uk/~sjy/papers/ywss05.pdf
    20 Feb 2018: At this point, the dialog state probabilities given by equation 24 are omputed. ... P1. find P2. (a) task 1.0. P1 b=1.0. b=0.7. b=0.3. b=0.24.

  6. IEEE SIGNAL PROCESSING MAGAZINE [128] MAY 2010 This article ...

    mi.eng.cam.ac.uk/~sjy/papers/youn10.pdf
    20 Feb 2018: THE HIDDEN INFORMATION STATE SYSTEMA block diagram of the HIS system is shown in Figure 13 [23], [24]. ... The history states record grounding and query status information but the details are not relevant here (see [24]).

  7. Use of Deep Learning in Free Speaking Non-native English Assessment

    mi.eng.cam.ac.uk/~mjfg/ALTA/presentations/TSD2021_Knill.pdf
    21 Feb 2022: 24/56. Deep Density Network-based Grader [1, 7]. • Deep Density Networks predict parameters of a distribution.

  8. A Network-based End-to-End Trainable Task-oriented Dialogue System…

    mi.eng.cam.ac.uk/~sjy/papers/wgmv17.pdf
    20 Feb 2018: 50.00 24.39 25.61Performance 43.90 25.61 30.49.

  9. Latent Intention Dialogue Models Tsung-Hsien Wen 1 * Yishu ...

    mi.eng.cam.ac.uk/~sjy/papers/wmby17.pdf
    20 Feb 2018: goodbye. ( 1 0.24) you are welcome. goodbye. ( 85 0.19) is there anything else i can help you with?

  10. Kate Knill ALTA Institute, Cambridge University Engineering…

    mi.eng.cam.ac.uk/~kmk/presentations/Knill_UKSpeech2023_Keynote.pdf
    19 Jun 2023: conversational assessment. 24. Applying Foundation Models to Auto-marking: Neural Text Grader.

  11. Machine Intelligence Laboratory

    mi.eng.cam.ac.uk/Main/GMT_EqnSurf
    In the Windows version this will be saved in uncompressed 24-bit.

  12. Roberto Cipolla - Professor of Information Engineering

    mi.eng.cam.ac.uk/~cipolla/professional.htm
    July 23-24, 1997. Organiser and Co-Chair of the European Conference on Computer Vision 1996,.

  13. Roberto Cipolla - Professor of Information Engineering

    mi.eng.cam.ac.uk/~cipolla/publications.htm
    Image and Vision Computing, 24(6):639-647, June 2006. O. Arandjelovic and R.

  14. Abstract for hain_icslp00

    mi.eng.cam.ac.uk/reports/abstracts/hain_icslp00.html
    27 Jul 2020: Experiments on the Resource Management (RM) corpus and a subset of the Switchboard corpus show that, relative to standard HMM baseline, a reduction word error rate (WER) of 24.3% relative

  15. Royal Society Meeting on Geometry in Computer Vision

    mi.eng.cam.ac.uk/~cipolla/royal_society.html
    28 Nov 2006: Session 3: Grouping and Matching. Thursday 24 July, 09.30-12.30 (Chair: Dr A. ... Session 4: Geometry and Statistics. Thursday 24 July, 14.00-17.40 (Chair: Dr R.

  16. Abstract for johnson_trec7

    mi.eng.cam.ac.uk/reports/abstracts/johnson_trec7.html
    27 Jul 2020: The broadcast news audio was transcribed using a 2-pass gender-dependent HTK speech recogniser which ran at 50 times real time and gave an overall word error rate of

  17. Abstract for clarkson_icassp97

    mi.eng.cam.ac.uk/reports/abstracts/clarkson_icassp97.html
    27 Jul 2020: Both techniques yield a significant reduction in perplexity over the baseline trigram language model when faced with multi-domain test text, the mixture-based model giving a 24% reduction and the

  18. Evermann, Kim, Wang, Woodland et al.: CU-HTK Fast System ...

    mi.eng.cam.ac.uk/research/projects/EARS/pubs/evermann_rt03s.pdf
    23 Jun 2003: 0 26.1 23.7P3.3-cn 20.4 24.3 26.6 24.0final 19.9 23.5 25.8 23.3. ... 320xRT 2002† 19.8 24.3 27.0 23.910xRT 2002† 22.3 27.7 31.0 27.2 14%.

  19. Machine Intelligence Laboratory

    mi.eng.cam.ac.uk/Main/GMT_4YP_24_2
    Main > GMT_4YP_24_2. Dr Graham Treece, Department of Engineering.

  20. Professor Steve Young, Publications

    mi.eng.cam.ac.uk/~sjy/publications.html
    P-H. Su, M. Gasic and S. Young (2018). "Reward Estimation for Dialogue Policy Optimisation." Computer Speech and Language, 51(1):24-43. ... B. Thomson and S. Young (2010). "Bayesian update of dialogue state: A POMDP framework for spoken dialogue systems."

  21. 4F12-notes-1.dvi

    mi.eng.cam.ac.uk/~cipolla/lectures/4F12/Slides/4F12-notes-1.pdf
    29 Sep 2023: CCD. • A typical digital SLR CCD measures about 24 16 mm. ... 24 Engineering Part IIB: 4F12 Computer Vision. Further reading. Students looking for a deeper understanding of computer vision might wish to con-sult the following publications, many of

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