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  1. Results that match 1 of 2 words

  2. Kate Knill - Biography

    mi.eng.cam.ac.uk/~kmk/bio.html
    18 Mar 2022: As Languages Manager (2000 - 2002), she led a cross-site team that developed over 20 languages for speech recognition and speaker verification.
  3. wxRegSurf

    mi.eng.cam.ac.uk/~ahg/wxRegSurf/sslm.html
    12 Sep 2022: mc3_6756_lmarked.ply individual.ply n/a n/a 0 0 0 999 0 20 10 1 -1 0 0 1 0 # review canonical_mc3_6756_lmarked.ply individual.ply
  4. wxRegSurf

    mi.eng.cam.ac.uk/~ahg/wxRegSurf/femur.html
    12 Sep 2022: To perform the nonrigid registration, we set the Iterations slider to around 20 and select Registration->SimilarityLAD (preferable) or Registration->SimilaritySSM (if in a rush), before pressing Start. ... the lesser trochanters are approximately level,
  5. wxRegSurf

    mi.eng.cam.ac.uk/~ahg/wxRegSurf/lrhr.html
    12 Sep 2022: hr_femur_thickness.bin 0 0 20 999 0 0 1 0 -1 1 0 0 0. ... reg. file. The final line of the above example loads the two sets of cortical data, performs 20 smoothing cycles on the HR data, applies the similarity transformation from the.
  6. wxRegSurf

    mi.eng.cam.ac.uk/~ahg/wxRegSurf/vertebra.html
    12 Sep 2022: To perform the nonrigid registration, we set the Iterations slider to around 20, check the Auto sequence checkbox and select Registration->SimilarityLAD (preferable) or Registration->SimilaritySSM (if in a rush), before ... Next, check the Auto sequence
  7. Scaling digital screen reading with one-shot learning and…

    mi.eng.cam.ac.uk/~cipolla/archive/Publications/inproceedings/2021-WACV-scaling-digital-meters.pdf
    9 Apr 2022: 0. 20. 40. 60. 80. 100. Prec. isio. n (%. ). Multimeter. 0 5 10 15 20 25Norm dist from GT (px). ... 20] E. Rublee, V. Rabaud, K. Konolige, and G. Bradski. Orb: Anefficient alternative to sift or surf.
  8. R. MECCA ET. AL : LUCES: NEAR-FIELD PHOTOMETRIC STEREO ...

    mi.eng.cam.ac.uk/~cipolla/publications/inproceedings/2021-BMVC-LUCES-photometric-stereo-dataset.pdf
    9 Apr 2022: Xiong et al. [41] have proposed a dataset of 7 objects using 20 directionallights calibrated with two chrome spheres. ... 4 ExperimentsIn this section, we evaluate four competing near-field methods namely [18, 20, 32, 35].
  9. Estimating and Exploiting the Aleatoric Uncertaintyin Surface Normal…

    mi.eng.cam.ac.uk/~cipolla/publications/inproceedings/2021-ICCV-surface-normal-uncertainty.pdf
    9 Apr 2022: We assumethat the uncertainty is heteroscedastic [20] (i.e. certain pix-els have higher uncertainty than the others). ... 5. [20] Alex Kendall and Yarin Gal. What uncertainties do weneed in bayesian deep learning for computer vision?
  10. X-MAN: Explaining multiple sources of anomalies in video Stanislaw ...

    mi.eng.cam.ac.uk/~cipolla/archive/Publications/inproceedings/2021-CVPR-XMAN-anomaly-detection.pdf
    9 Apr 2022: 26], sometimes aug-mented with memory modules [19], and/or optical-flow im-ages [13, 20, 21]. ... Learning memory-guided nor-mality for anomaly detection. In CVPR, 2020. [20] M.
  11. Paper8-features-matching.dvi

    mi.eng.cam.ac.uk/~cipolla/lectures/PartIB/old/2022-IB-Paper8-CV-Features-Matrching.pdf
    26 Apr 2022: Sig. nal. Sigma = 20. As σ increases, the signal is smoothed more and more, and. ... description. Original Level 0. σ = 5. σ = 10. Level 1 Level 2σ = 20.

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