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  2. paper.dvi

    mi.eng.cam.ac.uk/~sjy/papers/youn06.pdf
    20 Feb 2018: However,approx-imate solutions can still provide useful policies. The simplest ap-proach is to discretise belief space and then use standard MDP op-timisation methods [6].
  3. AAAI Proceedings Template

    mi.eng.cam.ac.uk/~sjy/papers/wipy05b.pdf
    20 Feb 2018: S. sn. nsbsb. 1. )()(maxargˆ)( υππ (16). Thus the value-function method provides both a parti-tioning of belief space into regions corresponding to op-timal actions as well as the
  4. 20 Feb 2018: Thisprovides increased robustness to errors in speechunderstanding and automatic dialogue policy op-timisation via reinforcement learning (Roy et al.,2000; Zhang et al., 2001; Williams and Young,2007; Young et al.,
  5. PoseNet: A Convolutional Network for Real-Time 6-DOF Camera…

    mi.eng.cam.ac.uk/~cipolla/publications/inproceedings/2015-ICCV-relocalisation.pdf
    13 Mar 2018: engineering or graph op-timisation. ... This demonstrates that learning with the op-timum scale factor leads to the convnet uncovering a more accuratepose function.
  6. Stereo Coupled Active Contours Tat-Jen Cham Roberto Cipolla…

    mi.eng.cam.ac.uk/~cipolla/publications/inproceedings/1997-CVPR-Cham-contour.pdf
    13 Mar 2018: The tworight columns show the update actions whichmust be performed for the desired tracking op-eration.
  7. 15 Jun 2018: Online]. Available: http://tensorflow.org/. [28] D. P. Kingma and J. Ba, “Adam: A Method for Stochastic Op-timization,” in Proc.
  8. Multi-view Stereo via Volumetric Graph-cuts G. Vogiatzis1 P. H. ...

    mi.eng.cam.ac.uk/~cipolla/publications/inproceedings/2005-CVPR-Vogiatzis-multi-view.pdf
    13 Mar 2018: The reconstructed surface is obtained by solving the op-timisation. Smin = arg minSC. ... Ourmethod has no concept of a current surface during the op-timisation phase, and therefore has to make the visibilityassumption of section 3.
  9. 13 Mar 2018: "!# $%& %'()#,&-##)./10324 56&-786&9: ;#<: =;#: >?@-<;A66"B9: ;#<: =;#: >? C<DFEGHIJBGKMLONQPLSRLTU(VQLP LXWZYQ[&R]ARR[&T_T_UVALO]QRLOBaNFLPSL=NQU ]bWBcdP ]QNA[eTAdfUf[&ghNQPBiLRU P]QSU]QP LjWBTQYhLdghU[&ThPLBiLP kXWlc&dP
  10. PII: S0167-6393(99)00044-8

    mi.eng.cam.ac.uk/~sjy/papers/wiyo00.pdf
    20 Feb 2018: NFp;. 2where Q is the set of all phone models and NF(p)the number of frames in the acoustic segment Op. ... Hence, the denominator score is de-termined by simply summing the log likelihood perframe over the duration of Op.
  11. 20 Feb 2018: This Gaussian process op-erates on a continuous space dialogue rep-resentation generated in an unsupervisedfashion using a recurrent neural networkencoder-decoder.

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