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71 - 80 of 222 search results for KaKaoTalk:vb20 200 |u:mi.eng.cam.ac.uk where 0 match all words and 222 match some words.

  1. Results that match 1 of 2 words

  2. stenger_prl06a_review1.dvi

    mi.eng.cam.ac.uk/~cipolla/publications/article/2008-PR-hand-pose-multivariate.pdf
    13 Mar 2018: Fig. 3. RVM regression on a toy dataset. The data set consists of 200 samplesfrom three polynomial functions with added Gaussian noise. ... After RVM training, a set of around30 templates out of 200 are chosen for both, shape context and Hausdorff

  3. stenger_imavis06.dvi

    mi.eng.cam.ac.uk/~cipolla/publications/article/2008-IVC-Stenger.pdf
    13 Mar 2018: At. 400 200 0 200 4000. 0.01. 0.02. 0.03. 0.04. 0.05. ... a). 100 0 100 200 3000. 0.02. 0.04. 0.06. 0.08. x.

  4. KIM et al.: GROWING A TREE FROM DECISION REGIONS ...

    mi.eng.cam.ac.uk/~cipolla/archive/Publications/inproceedings/2010-BMVC-supertree.pdf
    13 Mar 2018: 200 120 143 200 120 (146) 143 (148) 146.19 (38.1) (128) (146) (15.8). ... For about thegiven number of training samples, using 200 extended regions and 100 weak-learners wouldstart hitting theoretical memory boundaries.

  5. Online Multiple Classifier Boosting for Object Tracking Tae-Kyun Kim1 …

    mi.eng.cam.ac.uk/~cipolla/archive/Publications/inproceedings/2010-CVPR-tracking-boosting.pdf
    13 Mar 2018: on E. rror. (pi. xel). Hand ball. AdaBoostMCBoostMILSemiOABMCBQ. 100 150 200 250 300 3500. ... ition. Err. or (. pixe. l). Face. AdaBoostMCBoostMILSemiOABMCBQ. 200 400 600 800 1000 12000.

  6. Int J Comput Vis (2012) 100:203–215DOI 10.1007/s11263-011-0461-z…

    mi.eng.cam.ac.uk/~cipolla/archive/Publications/article/2012-IJCV-Shallow-trees.pdf
    13 Mar 2018: 200 120 143 200 120 (146) 143 (148) 146.19 (38.1) (128) (146) (15.8). ... For aboutthe given number of training samples, using 200 extendedregions and 100 weak-learners would start hitting theoreti-cal memory boundaries.

  7. bmvc-99.dvi

    mi.eng.cam.ac.uk/~cipolla/archive/Publications/inproceedings/1999-BMVC-Chesi.pdf
    13 Mar 2018: ìRªi-URÒns«Ð¥]. 0 50 100 150 200 2500.02. 0. 0.02. 0.04. ... 10. 5. 0. 5. 10. 15. 20. #% ,!&. 0 50 100 150 200 2500.1.

  8. Incremental Learning of Locally OrthogonalSubspaces for Set-based…

    mi.eng.cam.ac.uk/~cipolla/archive/Publications/inproceedings/2006-BMCV-Kim-incremental.pdf
    13 Mar 2018: 7. 0 50 100 150 200 250 300 350 4000.25. 0.2. ... 50. 100. 150. 200. 250. 300. 350. 400. 450. 500. Number of incremental updates.

  9. IEEE TRANSACTIONS ON AUDIO, SPEECH, AND LANGUAGE PROCESSING, JANUARY…

    mi.eng.cam.ac.uk/~sjy/papers/gayo14.pdf
    20 Feb 2018: 0. 200. 400. 600. 800. 1000. 1200. 1400. 1600. 1800. Aver.

  10. Statistical User Simulation with a Hidden Agenda Jost Schatzmann ...

    mi.eng.cam.ac.uk/~sjy/papers/scty07.pdf
    20 Feb 2018: 0. 100. 200. 300. 400. 500. 600. 700. 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14.

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    mi.eng.cam.ac.uk/~cipolla/publications/inproceedings/1994-BMVC-Lawn.pdf
    13 Mar 2018: 100. 150. 200. 250. 1. 50 100 150 200 250 300 350. ... 50. 100. 150. 200. 250. 0 50 100 150 200 250 300 350.

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