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41 - 50 of 468 search results for katalk:PC53 24 / |u:mi.eng.cam.ac.uk where 0 match all words and 468 match some words.

  1. Results that match 1 of 2 words

  2. 91_20090306_170604

    mi.eng.cam.ac.uk/~cipolla/publications/inproceedings/2009-MVA-Mavaddat.pdf
    13 Mar 2018: 95. Table 2: Feature definitions. Features 1-24 Differences of mean and standarddeviation features based on Yuilleand Chen box features. ... Features 24-82 Differences of mean and standarddeviation features of 18 blocks, de-noted as ‘Extended

  3. An attention based model for off-topic spontaneous spoken response ...

    mi.eng.cam.ac.uk/~ar527/malinin_slate2017.pdf
    15 Jun 2018: Theacoustic models are trained on 108.6 hours of BULATS test data(Gujarati L1 speakers) using the HTK v3.5 toolkit [24, 25].A Kneser-Ney trigram language model is trained ... INTERSPEECH, 2015. [24] S. Young et al., The HTK book (for HTK Version 3.4.1).

  4. Photo-Realistic Expressive Text to Talking Head Synthesis Vincent…

    mi.eng.cam.ac.uk/~cipolla/publications/inproceedings/2013-Interspeech-EVTTS.pdf
    13 Mar 2018: 6] Cao, Y., Tien, W., Faloutsos, P. and Pighin, F., “Expressivespeech-driven facial animation”, ACM TOG, 24(4):1283–1302,2005.

  5. Context adaptive training with factorized decisiontrees for HMM-based …

    mi.eng.cam.ac.uk/~sjy/papers/yzmy11.pdf
    20 Feb 2018: 24].3 Available at http://mi.eng.cam.ac.uk/˜farm2/emphasis.4 Cohen’s Kappa cannot be used here because the phrases are not distinct elements. ... Interspeech, 2010, pp. 410–413. [24] S. Young, G. Evermann, M. Gales, T.

  6. Still Talking to Machines (Cognitively Speaking) Steve Young…

    mi.eng.cam.ac.uk/~sjy/papers/youn10a.pdf
    20 Feb 2018: partition ex-plicitly records the fact that x = a and the existing partitionis updated to record the fact that x = ā [24].

  7. Boosted Manifold Principal Angles for Image Set-Based Recognition…

    mi.eng.cam.ac.uk/~cipolla/publications/article/2007-PR-Kim.pdf
    13 Mar 2018: recognition from face motion manifolds.Image and Vision Computing, 24(5),. 2006. (in press). ... 24] R. O. Duda, P. E. Hart, and D. G. Stork.Pattern Classification.

  8. On-line Active Reward Learning for Policy Optimisationin Spoken…

    mi.eng.cam.ac.uk/~sjy/papers/sgmb16.pdf
    20 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.

  9. An Expressive Text-Driven 3D Talking Head

    mi.eng.cam.ac.uk/~cipolla/publications/inproceedings/2013-Siggraph-Expressive-3D-VTTS.pdf
    13 Mar 2018: 2005. Ex-pressive speech-driven facial animation. ACM TOG 24, 4, 1283–1302. WANG, L., HAN, W., SOONG, F., AND HUO, Q.

  10. Efficiently Combining Contour and TextureCues for Object Recognition…

    mi.eng.cam.ac.uk/~cipolla/publications/inproceedings/2008-BMVC-Shotton.pdf
    13 Mar 2018: Puzicha. Shape matching and object recognition using shape contexts. PAMI,24(24):509–522, 2002. ... PAMI, 24(5),2002. [4] P. Dollár, Z. Tu, H. Tao, and S.

  11. Camera calibration from vanishing points in images of architectural…

    mi.eng.cam.ac.uk/~cipolla/publications/inproceedings/1999-BMVC-photobuilder-copy.pdf
    13 Mar 2018: scaling parameters, i. In particular:. 24. u1 u2 u3v1 v2 v31 1 1. ... u4v41. 35 =. 24. p11 p12 p13 p14p21 p22 p23 p24p31 p32 p33 p34.

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