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11 - 20 of 31 search results for postgraduate entry requirements |u:mi.eng.cam.ac.uk where 0 match all words and 31 match some words.
  1. Results that match 2 of 3 words

  2. Non-rigid Photometric Stereo with Colored Lights Carlos Herńandez1…

    mi.eng.cam.ac.uk/~cipolla/archive/Publications/inproceedings/2007-ICCV-colour-photometric-video.pdf
    13 Mar 2018: In thepresent work, we avoid this requirement while producingdetailed results. Pilet et al. ... The main difficultywith applying photometric stereo to deforming objects liesin the requirement of changing the light source direction foreach captured frame,
  3. Sparse and Semi-supervised Visual Mapping with the S3GP Oliver ...

    mi.eng.cam.ac.uk/~cipolla/archive/Publications/inproceedings/2006-CVPR-Williams-sparse.pdf
    13 Mar 2018: the proportional decrease inthis requirement means that gaze tracking at 10–15Hz con-stitutes a “background task” leaving the majority of cyclesfree for other processes. ... If this paper is accepted forpresentation at CVPR, text entry with S3GP
  4. Semi-Supervised Video Segmentation using Tree Structured Graphical…

    mi.eng.cam.ac.uk/~cipolla/archive/Publications/inproceedings/2011-CVPR-video-segmentation.pdf
    13 Mar 2018: Existing video models [7, 10, 21, 9] donot satisfy one or more of these requirements as discussedin Sec.2. ... 0.9 along the diagonals and equalvalues along the non-diagonal elements such that the sum ofall entries is unity.
  5. 20 Feb 2018: The state consists of the variables needed to track theprogress of the dialogue and the attribute values (often called slots) that determine theuser’s requirements. ... This is especiallyuseful in commercial applications where the behaviour of dialogue
  6. 20 Feb 2018: generalisation properties for generating unseen inputs. Section 3 describes BAGEL’s. meaning representation, which satisfies both requirements. ... intractable for non-trivial domains. Since a key requirement of this work was to develop.
  7. Refining Architectures of Deep Convolutional Neural Networks Sukrit…

    mi.eng.cam.ac.uk/~cipolla/publications/inproceedings/2016-CVPR-refining-CNN.pdf
    13 Mar 2018: Entry of (1,1) implies no stretchand splitting should be done. In Fig 5, for DR-1 , every value of b is made 1, while for DR-2 , every value of ... Ifthat test image has say 5 positive labels in ground-truth an-notations, we expect the first 5 entries of
  8. 20 Feb 2018: As indicated in the preceding section, there are strong indicators that humans exploit similar mechanisms and overall, POMDPs appear to address all of the requirements listed in the introduction for an
  9. A New Distance for Scale-Invariant 3D Shape Recognition and ...

    mi.eng.cam.ac.uk/~cipolla/publications/inproceedings/2011-ICCV-3D-object-recognition.pdf
    13 Mar 2018: 10] quantize translations and rotations in twoseparate 3D arrays; peak entries in both arrays indicate thepose of the object, but multiple objects create ambiguities.Knopp et al. ... This is not practical using Hough-based approaches,due to their
  10. BUDVYTIS et al.: LABEL PROPAGATION 1 Label propagation in ...

    mi.eng.cam.ac.uk/~cipolla/publications/inproceedings/2010-BMVC-label-propagation.pdf
    13 Mar 2018: Parts around the vanishing point and entry points of moving objects into the scene, suchas cross roads. ... Computational requirements The E-step in algorithm2 was implemented in C# with a 8core processor at a cost of 90s/frame.
  11. Refining Architectures of Deep Convolutional Neural Networks Sukrit…

    mi.eng.cam.ac.uk/~cipolla/archive/Publications/inproceedings/2016-CVPR-refining-CNN.pdf
    13 Mar 2018: Entry of (1,1) implies no stretchand splitting should be done. In Fig 5, for DR-1 , every value of b is made 1, while for DR-2 , every value of ... Ifthat test image has say 5 positive labels in ground-truth an-notations, we expect the first 5 entries of

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