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Did you mean people alumni |u:mi.eng.cam.ac.uk?
11 - 20 of 167 search results for People aliens |u:mi.eng.cam.ac.uk where 0 match all words and 167 match some words.

  1. Results that match 1 of 2 words

  2. ON-LINE POLICY OPTIMISATION OF BAYESIAN SPOKEN DIALOGUE SYSTEMS…

    mi.eng.cam.ac.uk/~sjy/papers/gbhk13.pdf
    20 Feb 2018: 3.4. Amazon MTurk service. In order to evaluate or train a policy with real people we used crowd-sourcing, for which we used the Amazon MTurk service in a

  3. Real user evaluation of spoken dialogue systems using Amazon ...

    mi.eng.cam.ac.uk/~sjy/papers/jkgm11.pdf
    20 Feb 2018: The ultimategoal should be to design and deploy such dialogue systems thatthey would be used by people genuinely interested in the serviceand to reach a volume of calls that would allow

  4. On Person Authentication by Fusing Visual and Thermal Face ...

    mi.eng.cam.ac.uk/~cipolla/publications/inproceedings/2006-AVSS-Arandjelovic-authentication.pdf
    13 Mar 2018: The practical importance of this can be seen bynoting that in the US in 2000 roughly 96 million people, or34% of the total population, wore prescription glasses [18]. ... 1-to-N and 1-to-1 matching scenarios. In the former case,we assumed that test data

  5. CHARLES et al.: EXTRACTING THE X FACTOR IN HUMAN ...

    mi.eng.cam.ac.uk/~cipolla/archive/Publications/inproceedings/2017-BMVC-human-segmentation.pdf
    13 Mar 2018: c) shows per-class IOU comparison on Unite the People S31. YouTube Pose [7]. ... OnUnite the People, these scores are shown as averages over left-right body parts.

  6. tech.dvi

    mi.eng.cam.ac.uk/~sjy/papers/bghk13.pdf
    20 Feb 2018: A general background model wasnot. found to be helpful as the things that people tend to say in thecon-text of the dialogue system are very limited, and well covered bydata

  7. techreport_20060422MJ.dvi

    mi.eng.cam.ac.uk/~cipolla/publications/article/2006-Eurographics-semantic.pdf
    13 Mar 2018: Our primary contributionis a new method for creating images of specific thingsand people, with minimal human effort. ... semantic labels such as proper names of people, andcan be supplemented with copy-pasted islands of pixelsfor categories that lack

  8. TAN, BUDVYTIS, CIPOLLA: INDIRECT DEEP STRUCTURED LEARNING 1 Indirect…

    mi.eng.cam.ac.uk/~cipolla/publications/inproceedings/2017-BMVC-3D-body-indirect.pdf
    13 Mar 2018: artificially generated 3D human body images (using SMPL [2]) and on real images from theUnite the People dataset [9]. ... within the range of values ob-served in the Unite The People dataset [9].

  9. hci09.dvi

    mi.eng.cam.ac.uk/~cipolla/archive/Publications/inproceedings/2009-HCI-Stenger.pdf
    13 Mar 2018: 5.2 Face recognition experimentsWe have evaluated the face recognition performance usinga data set containing 5 people (10 sequences per person, 50frames per sequence). ... Although the trackingexperiments in this paper show results on a relatively

  10. An information-theoretic approach to facerecognition from face motion …

    mi.eng.cam.ac.uk/~cipolla/archive/Publications/article/2006-IVC-Arandjelovic.pdf
    13 Mar 2018: Recognition rate of 98% was achieved on a database of100 people under varying illumination. ... Acknowledgements. We would like to thank the Toshiba Corporation for their kind support for our re-search, the people from the University of Cambridge

  11. 05-02_178

    mi.eng.cam.ac.uk/~cipolla/publications/inproceedings/2007-MVA-Thayananthan.pdf
    13 Mar 2018: method was tested on 40 frames of a real 15 Hzvideo (resolution 160x120), where two people cross infront of a stationary background.

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