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  2. Boosted Manifold Principal Angles for Image Set-Based Recognition…

    mi.eng.cam.ac.uk/~cipolla/publications/article/2007-PR-Kim.pdf
    13 Mar 2018: and sometimes less data is available. In the context of face recognition, for exam-.
  3. 3 Jul 2018: 2 Motivation and Related Work. To introduce the terminology that will be used inthis work and to illustrate the necessity of adequatemodelling of relations, Figure 1 shows an exam-ple dialogue
  4. Hand PoseEstimation Using Hierar chical Detection B. Stenger��� , ...

    mi.eng.cam.ac.uk/~cipolla/archive/Publications/inproceedings/2004-HCI-Stenger-hand-pose.pdf
    13 Mar 2018: exam-ple,by AthitsosandSclaroff for handposeestimation[1] andShakhnarovich et al.
  5. Combining Single View Recognition and Multiple View Stereo For ...

    mi.eng.cam.ac.uk/~cipolla/publications/inproceedings/2001-ICCV-Dick-combining.pdf
    13 Mar 2018: For exam-ple each window has been made reflective and partiallytransparent, so that it exhibits specular reflection as theviewer moves past it, as can be seen in Figure 5(h)-(i).
  6. Contour-Based Learning for Object Detection Jamie ShottonDepartment…

    mi.eng.cam.ac.uk/~cipolla/publications/inproceedings/2005-ICCV-Shotton-object-detection.pdf
    13 Mar 2018: Training examplesEach training image can generate multiple training exam-ples. Each example is a vector of feature responses takenat a particular centroid and is given a binary target value,positive, meaning ... After each round, all training exam-ples
  7. Semi-supervised Learning of Joint DensityModels for Human Pose…

    mi.eng.cam.ac.uk/~cipolla/publications/inproceedings/2006-BMVC-Navaratnam-semisupervised.pdf
    13 Mar 2018: The results we show later, and the exam-ples in figure 3 confirm that there is indeed a practical advantage, but it is instructive toconsider on an intuitive level what the
  8. Efficiently Combining Contour and TextureCues for Object Recognition…

    mi.eng.cam.ac.uk/~cipolla/publications/inproceedings/2008-BMVC-Shotton.pdf
    13 Mar 2018: 22 ). ( 34 / 16 ). ( 39 / 18 ). ( 30 / 20 ). ( 31 / 20 ). Exam. ple. Resu. lts. Key. 54.7.
  9. 20 Feb 2018: pushing antonymous exam-ples away from each other. ... formed vector space, see Fig. 1). Tab. 1 illustratesthe effects of morph-fitting by qualitative exam-ples in three languages: the vast majority of nearestneighbours are “morphological” synonyms.
  10. 20 Feb 2018: FOOD=CHEAP: [affordable, budget, low-cost,low-priced, inexpensive, cheaper, economic,. ]. RATING=HIGH: [best, high-rated, highly rated,top-rated, cool, chic, popular, trendy,. ].
  11. A Unifying Resolution-Independent Formulation for Early Vision∗ Fabio …

    mi.eng.cam.ac.uk/~cipolla/publications/inproceedings/2012-CVPR-Viola.pdf
    13 Mar 2018: To discuss related work, let us follow a standard exam-ple: combined denoising and (non-blind) upsampling.

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