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1 - 10 of 28 search results for KA :PC53 24 |u:mi.eng.cam.ac.uk where 0 match all words and 28 match some words.

  1. Results that match 2 of 3 words

  2. A Probabilistic Framework for Space Carving A. Broadhurst, T.W. ...

    mi.eng.cam.ac.uk/~cipolla/publications/inproceedings/2001-ICCV-Broadhurst.pdf
    13 Mar 2018: t=20. t=22. t=24. t=26t=28Probabilistic. Space Carving. Error (RGB distance). Per. cent.

  3. A Probabilistic Framework for Space Carving A. Broadhurst, T.W. ...

    mi.eng.cam.ac.uk/~cipolla/archive/Publications/inproceedings/2001-ICCV-Broadhurst.pdf
    13 Mar 2018: t=20. t=22. t=24. t=26t=28Probabilistic. Space Carving. Error (RGB distance). Per. cent.

  4. Dialogue manager domain adaptation using Gaussian process…

    mi.eng.cam.ac.uk/~sjy/papers/gmrs17.pdf
    20 Feb 2018: kA(a,a′). For a training sequence of belief state-action pairs B = [(b0,a0),. , ... kA(a,a′) = δa(a. ′) (6). where δa(a′) = 1 iff a = a′, 0 otherwise.

  5. DISTRIBUTED DIALOGUE POLICIES FOR MULTI-DOMAIN STATISTICAL…

    mi.eng.cam.ac.uk/~sjy/papers/gkty15a.pdf
    20 Feb 2018: kA(a,a′) = δa(a. ′) (5). where δa(a′) = 1 iff a = a′, 0 otherwise. ... 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. DISTRIBUTED DIALOGUE POLICIES FOR MULTI-DOMAIN STATISTICAL…

    mi.eng.cam.ac.uk/~sjy/papers/gkty15.pdf
    20 Feb 2018: kA(a,a′) = δa(a. ′) (5). where δa(a′) = 1 iff a = a′, 0 otherwise. ... 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

  7. icra00.dvi

    mi.eng.cam.ac.uk/~cipolla/publications/inproceedings/2000-ICRA-Chesi.pdf
    13 Mar 2018: 73&)24!""K!{¢ I1[TS[Ma_XJ&:a[L5U£ [M3[TOL(¤O,Ls¥UIUL51Uc5=)0F0324!95c = c<-Cj,j,j. ... L5t$U3Ï[L$b,Ã=¿)71>'24<!'<;/"642B'0324),!"csjj&$. s"03)w!>Æ;24-),646B8% Ð!<24!$03<?71624!8732B!03!

  8. icra00.dvi

    mi.eng.cam.ac.uk/~cipolla/archive/Publications/inproceedings/2000-ICRA-Chesi.pdf
    13 Mar 2018: 73&)24!""K!{¢ I1[TS[Ma_XJ&:a[L5U£ [M3[TOL(¤O,Ls¥UIUL51Uc5=)0F0324!95c = c<-Cj,j,j. ... L5t$U3Ï[L$b,Ã=¿)71>'24<!'<;/"642B'0324),!"csjj&$. s"03)w!>Æ;24-),646B8% Ð!<24!$03<?71624!8732B!03!

  9. IEEE TRANSACTIONS ON AUDIO, SPEECH, AND LANGUAGE PROCESSING, JANUARY…

    mi.eng.cam.ac.uk/~sjy/papers/gayo14.pdf
    20 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]

  10. ijcv-cut.dvi

    mi.eng.cam.ac.uk/~cipolla/publications/article/2004-IJCV-architecture-sfm.pdf
    13 Mar 2018: áà-ØÙcä)Ü@ÝØàØÙ6ØäÙcÚä_ÙcÚàåfä_ØÞÛÝÜ@ÙcØáâSàÕ'Ü!Kä/WÕcß)Þ ØÙÜ@áà+)ÚÕ_Ø-ØÈáâÙcMÜ@ÙØÙàßÚäØáàÚÚàQâ)ÚáÚ ... áÙcÚ2Öß)ØÖÚß:äcÖ

  11. ijcv-cut.dvi

    mi.eng.cam.ac.uk/~cipolla/archive/Publications/article/2004-IJCV-architecture-sfm.pdf
    13 Mar 2018: áà-ØÙcä)Ü@ÝØàØÙ6ØäÙcÚä_ÙcÚàåfä_ØÞÛÝÜ@ÙcØáâSàÕ'Ü!Kä/WÕcß)Þ ØÙÜ@áà+)ÚÕ_Ø-ØÈáâÙcMÜ@ÙØÙàßÚäØáàÚÚàQâ)ÚáÚ ... áÙcÚ2Öß)ØÖÚß:äcÖ

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