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21 - 30 of 468 search results for KaKaoTalk:ZA31 24 24 |u:mi.eng.cam.ac.uk where 0 match all words and 468 match some words.

  1. Results that match 2 of 3 words

  2. yeyo06.dvi

    mi.eng.cam.ac.uk/~sjy/papers/yeyo06.pdf
    20 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.

  3. 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.

  4. THE USE OF DISCRIMINATIVE BELIEF TRACKINGIN POMDP-BASED DIALOGUE…

    mi.eng.cam.ac.uk/~sjy/papers/khgt14.pdf
    20 Feb 2018: 24,no. 4, pp. 562–588, Oct. 2010. [7] Jost Schatzmann, Statistical user and error modellingfor spoken dialogue systems, Ph.D.

  5. DISTRIBUTED DIALOGUE POLICIES FOR MULTI-DOMAIN STATISTICAL…

    mi.eng.cam.ac.uk/~sjy/papers/gkty15.pdf
    20 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

  6. Phrase-based Statistical Language Generation usingGraphical Models…

    mi.eng.cam.ac.uk/~sjy/papers/mgjk10.pdf
    20 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.

  7. 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].

  8. Reward Estimation for Dialogue Policy Optimisation Pei-Hao Su, Milica …

    mi.eng.cam.ac.uk/~sjy/papers/sugy18.pdf
    20 Feb 2018: In this section, a Gaussianprocess-based reward estimator is described which uses active learning tolimit intrusive requests for feedback and a noise model to mitigate the effectsof inaccurate feedback [24]. ... 24. Figure 13: The number of times each

  9. 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.

  10. 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.

  11. Multi-domain Neural Network Language Generation forSpoken Dialogue…

    mi.eng.cam.ac.uk/~sjy/papers/wgmr16.pdf
    20 Feb 2018: scr-10% 2.24 2.03 2.00 1.92. p <0.05, p <0.005Table 2: Human evaluation for utterance quality intwo domains.

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