Search

Search Funnelback University

Search powered by Funnelback
41 - 50 of 79 search results for Economics exam |u:mi.eng.cam.ac.uk where 0 match all words and 79 match some words.
  1. Results that match 1 of 2 words

  2. Multi-Sensory Face Biometric Fusion (for Personal Identification)…

    mi.eng.cam.ac.uk/~cipolla/publications/inproceedings/2006-OTCBVS-Arandjelovic-fusion.pdf
    13 Mar 2018: W1 was found to be very large). Exam-ples are shown in Fig.
  3. Boosted Manifold Principal Angles for Image Set-Based Recognition…

    mi.eng.cam.ac.uk/~cipolla/archive/Publications/article/2007-PR-Kim.pdf
    13 Mar 2018: and sometimes less data is available. In the context of face recognition, for exam-.
  4. Combining Single View Recognition and Multiple View Stereo For ...

    mi.eng.cam.ac.uk/~cipolla/archive/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).
  5. Contour-Based Learning for Object Detection Jamie ShottonDepartment…

    mi.eng.cam.ac.uk/~cipolla/archive/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
  6. 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: 9] A. Hertzmann and S. Seitz. Shape and materials by exam-ple: a photometric stereo approach.
  7. Semi-supervised Learning of Joint DensityModels for Human Pose…

    mi.eng.cam.ac.uk/~cipolla/archive/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/archive/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. Face Recognition with Image Sets Using Manifold Density Divergence ...

    mi.eng.cam.ac.uk/~cipolla/publications/inproceedings/2005-CVPR-Arandjelovic-divergence.pdf
    13 Mar 2018: asfaces with grossly incorrect scales – see Figure 9 for exam-ples of successfully removed false positives.
  10. 20 Feb 2018: In most cases, this will not be a significant assumption. For exam-ple, it is reasonable to assume that the probability of the user saying ‘‘I would like Chinese food” given
  11. 20 Feb 2018: This article appeared in a journal published by Elsevier. The attachedcopy is furnished to the author for internal non-commercial researchand education use, including for instruction at the authors institution. and sharing with colleagues. Other uses

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.