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  1. Results that match 1 of 2 words

  2. A single-frame visual gyroscope Georg Klein and Tom…

    mi.eng.cam.ac.uk/reports/svr-ftp/klein_drummond2005BMVC.pdf
    14 Sep 2005: Here it is set to 640 pixels. 0 200 400 600 800 10000. ... 50. 100. 150. 200. 250. position. inte. nsi. ty. Maximalgradient ramp5.
  3. Machine Learning of Level and Progression in Spoken EAL ...

    mi.eng.cam.ac.uk/~kmk/presentations/CEP_Feb2016_Knill.pdf
    12 May 2016: Speaking Time Versus Learner Progression. 0. 100. 200. 300. 400. 500.
  4. Uncertainty management for on-line optimisation of a…

    mi.eng.cam.ac.uk/~sjy/papers/dgcg11.pdf
    20 Feb 2018: 4. -2. 0. 2. 4. 6. 8. 10. 12. 14. 0 200 400 600 800 1000.
  5. 8 Aug 2005: 400 200 0 200 4000. 0.01. 0.02. 0.03. 0.04. 0.05. 0.06. ... 100 0 100 200 3000. 0.02. 0.04. 0.06. 0.08. x. p(x).
  6. 20 Feb 2018: As training data, the LEGO corpus [28] is used which con-sists of 200 dialogues (4,885 turns) from the Let’s Go bus infor-mation system [29]. ... Each turnof these 200 dialogues has been annotated with IQ (represent-ing the quality of the dialogue up
  7. 20 Feb 2018: 100 200 300 400 500 600 700 8000. 50. 100. 150. ... 200. 250. 300. Time index (ms) of "And then". F0. extr.
  8. Roberto Cipolla - Professor of Information Engineering

    mi.eng.cam.ac.uk/~cipolla/publications.htm
    Computer Vision and Image Understanding, 148:193-200, July 2016. K Chaiyasarn, TK Kim, F Viola, R Cipolla and K Soga.
  9. acl2010.dvi

    mi.eng.cam.ac.uk/~sjy/papers/gjkm10.pdf
    20 Feb 2018: 2. 200 400 600 800 1000 1200 1400 1600 1800 2000 2200 2400 2600 2800 3000.
  10. afftensor.dvi

    mi.eng.cam.ac.uk/reports/svr-ftp/mendonca_affine-tensor.pdf
    10 Aug 1999: 100. 150. 200. 250. 300. 350. 400. a)0 100 200 300 400. ... 0. 50. 100. 150. 200. 250. 300. 350. 400. b). Figure 3: Transfer of points and lines.
  11. An Illumination Invariant Face Recognition System forAccess Control…

    mi.eng.cam.ac.uk/reports/svr-ftp/oa214_BMVC_2004_paper1.pdf
    8 Aug 2005: Figure 2:Parallax used to cluster input face images (a). The distributions ofη (1) for the three clusters, computedfrom 200 manually labelled frames is shown in (b). ... 20. 40. 60. 80. 100. 120. (a) (b). 0 100 200 300 400 500 600 700 800 900 10000.

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