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Multi-Sensory Face Biometric Fusion (for Personal Identification)…
mi.eng.cam.ac.uk/~cipolla/publications/inproceedings/2006-OTCBVS-Arandjelovic-fusion.pdf13 Mar 2018: W1 was found to be very large). Exam-ples are shown in Fig. -
Boosted Manifold Principal Angles for Image Set-Based Recognition…
mi.eng.cam.ac.uk/~cipolla/archive/Publications/article/2007-PR-Kim.pdf13 Mar 2018: and sometimes less data is available. In the context of face recognition, for exam-. -
Combining Single View Recognition and Multiple View Stereo For ...
mi.eng.cam.ac.uk/~cipolla/archive/Publications/inproceedings/2001-ICCV-Dick-combining.pdf13 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). -
Contour-Based Learning for Object Detection Jamie ShottonDepartment…
mi.eng.cam.ac.uk/~cipolla/archive/Publications/inproceedings/2005-ICCV-Shotton-object-detection.pdf13 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 -
Non-rigid Photometric Stereo with Colored Lights Carlos Herńandez1…
mi.eng.cam.ac.uk/~cipolla/publications/inproceedings/2007-ICCV-colour-photometric-video.pdf13 Mar 2018: 9] A. Hertzmann and S. Seitz. Shape and materials by exam-ple: a photometric stereo approach. -
Semi-supervised Learning of Joint DensityModels for Human Pose…
mi.eng.cam.ac.uk/~cipolla/archive/Publications/inproceedings/2006-BMVC-Navaratnam-semisupervised.pdf13 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 -
Efficiently Combining Contour and TextureCues for Object Recognition…
mi.eng.cam.ac.uk/~cipolla/archive/Publications/inproceedings/2008-BMVC-Shotton.pdf13 Mar 2018: 22 ). ( 34 / 16 ). ( 39 / 18 ). ( 30 / 20 ). ( 31 / 20 ). Exam. ple. Resu. lts. Key. 54.7. -
Face Recognition with Image Sets Using Manifold Density Divergence ...
mi.eng.cam.ac.uk/~cipolla/publications/inproceedings/2005-CVPR-Arandjelovic-divergence.pdf13 Mar 2018: asfaces with grossly incorrect scales – see Figure 9 for exam-ples of successfully removed false positives. -
Bayesian update of dialogue state: A POMDP framework for spoken…
mi.eng.cam.ac.uk/~sjy/papers/thyo10.pdf20 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 -
This article appeared in a journal published by Elsevier. ...
mi.eng.cam.ac.uk/~sjy/papers/inyo0920 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
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