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Kate Knill - Biography
mi.eng.cam.ac.uk/~kmk/bio.html18 Mar 2022: As Languages Manager (2000 - 2002), she led a cross-site team that developed over 20 languages for speech recognition and speaker verification. -
wxRegSurf
mi.eng.cam.ac.uk/~ahg/wxRegSurf/sslm.html12 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 -
wxRegSurf
mi.eng.cam.ac.uk/~ahg/wxRegSurf/femur.html12 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, -
wxRegSurf
mi.eng.cam.ac.uk/~ahg/wxRegSurf/lrhr.html12 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. -
wxRegSurf
mi.eng.cam.ac.uk/~ahg/wxRegSurf/vertebra.html12 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 -
Scaling digital screen reading with one-shot learning and…
mi.eng.cam.ac.uk/~cipolla/archive/Publications/inproceedings/2021-WACV-scaling-digital-meters.pdf9 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. -
R. MECCA ET. AL : LUCES: NEAR-FIELD PHOTOMETRIC STEREO ...
mi.eng.cam.ac.uk/~cipolla/publications/inproceedings/2021-BMVC-LUCES-photometric-stereo-dataset.pdf9 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]. -
Estimating and Exploiting the Aleatoric Uncertaintyin Surface Normal…
mi.eng.cam.ac.uk/~cipolla/publications/inproceedings/2021-ICCV-surface-normal-uncertainty.pdf9 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? -
X-MAN: Explaining multiple sources of anomalies in video Stanislaw ...
mi.eng.cam.ac.uk/~cipolla/archive/Publications/inproceedings/2021-CVPR-XMAN-anomaly-detection.pdf9 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. -
Paper8-features-matching.dvi
mi.eng.cam.ac.uk/~cipolla/lectures/PartIB/old/2022-IB-Paper8-CV-Features-Matrching.pdf26 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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