Search

Search Funnelback University

Search powered by Funnelback
1 - 20 of 32 search results for postgraduate entry requirements |u:mi.eng.cam.ac.uk where 0 match all words and 32 match some words.
  1. Results that match 2 of 3 words

  2. 20 Feb 2018: the similar-ity threshold. The Y-clustering algorithm attempts to satisfy theabove requirements by generating sentence classes in stages. ... Rankthe templates according to the number of assigned sen-tences. If there are more than the required Y
  3. Non-rigid Photometric Stereo with Colored Lights Carlos Herńandez1…

    mi.eng.cam.ac.uk/~cipolla/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,
  4. main.dvi

    mi.eng.cam.ac.uk/~sjy/papers/youn07
    20 Feb 2018: These nodes correspond to ei-. 6Often referred to as thescore. ther entry states, emitting states or exit states. ... If sim-ple Viterbi decoding was the only requirement, thenthere would be little variation amongst decoder im-plementations.
  5. Sparse and Semi-supervised Visual Mapping with the S3GP Oliver ...

    mi.eng.cam.ac.uk/~cipolla/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
  6. 20 Feb 2018: First we consider options (1) and (2). (1) may be con-sidered a baseline and is given by the diagonal entries of theupper part of Table 4. ... 2Note that the in domain results in Table 4, the ‘diagonal’ entries in theupper section, correspond exactly
  7. Semi-Supervised Video Segmentation using Tree Structured Graphical…

    mi.eng.cam.ac.uk/~cipolla/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.
  8. 20 Feb 2018: Hence, the dialogue manager will have many choices ateach turn including confirming the given requirements, askingfor further requirements or offering a venue. ... allows global information to be incor-porated such as the number of database entries
  9. 20 Feb 2018: This paper presents BAGEL (Bayesian networksfor generation using active learning), an NLG sys-tem that can be fully trained from aligned data.While the main requirement of the generator is toproduce ... 3.2 High cardinality concept abstractionWhile one
  10. 20 Feb 2018: For example the system needs to provide a user with a description of a laptop in a storethat meets specific user requirements. ... a given database entry and the fifth the sum of the number of values of each requestable slot.
  11. gasic_acltslp.dvi

    mi.eng.cam.ac.uk/~sjy/papers/gayo11.pdf
    20 Feb 2018: The main requirements for representing partitions are that each partition is unique and thatthey are represented in a way that allows a large number of partitions to be maintained efficientlyand compactly. ... The features of the summary space are: top
  12. 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,
  13. 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
  14. 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.
  15. 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
  16. 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.
  17. 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
  18. 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
  19. 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
  20. 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
  21. 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.

Refine your results

Search history

Recently clicked results

Recently clicked results

Your click history is empty.

Recent searches

Recent searches

Your search history is empty.