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71 - 76 of 76 search results for Cambridge Animal Alphabet |u:mi.eng.cam.ac.uk where 0 match all words and 76 match some words.

  1. Results that match 2 of 3 words

  2. Unsupervised Bayesian Detection of Independent Motion in Crowds…

    mi.eng.cam.ac.uk/~cipolla/archive/Publications/inproceedings/2006-CVPR-Brostow-motionincrowds.pdf
    13 Mar 2018: Unsupervised Bayesian Detection of Independent Motion in Crowds. Gabriel J. Brostow and Roberto CipollaUniversity of Cambridge. ... Thepenghurry-01 sequence comes from fotosearch.com. Thefirst author was supported by funding from the Cambridge-MIT

  3. IB-interestpoints.dvi

    mi.eng.cam.ac.uk/~cipolla/lectures/PartIB/old/2012-IB-handout2.pdf
    8 May 2012: University of Cambridge. Engineering Part IB. Paper 8 Information Engineering. Image Search and Matching. ... Image texture arises from large numbers of smallobjects such as grass, brush, pebbles and hair andsurfaces with orderly and repetitive patterns

  4. ��������� �� ������� ����������� ������� ��� � �� ��! ...

    mi.eng.cam.ac.uk/reports/svr-ftp/auto-pdf/niesler_tr265.pdf
    9 Aug 2005: CD), singular or plural article (ATI), singular article (AT), coordinatingconjunction (CC), subordinating conjunction (CS), letter of the alphabet (ZZ), end-of-sentence marker (SE), infinitival “to” (TO), unit ofmeasurement (NNU)! " #

  5. Unsupervised Bayesian Detection of Independent Motion in Crowds…

    mi.eng.cam.ac.uk/reports/svr-ftp/brostow_MotionInCrowdsCVPR06.pdf
    14 Sep 2006: Unsupervised Bayesian Detection of Independent Motion in Crowds. Gabriel J. Brostow and Roberto CipollaUniversity of Cambridge. ... Thepenghurry-01 sequence comes from fotosearch.com. Thefirst author was supported by funding from the Cambridge-MIT

  6. doi:10.1016/j.patrec.2008.04.005

    mi.eng.cam.ac.uk/~cipolla/archive/Publications/article/2009-PR-car-video-database-report.pdf
    13 Mar 2018: The MicrosoftResearch Cambridge database (Shotton et al., 2006) is among themost relevant, because it includes per-pixel class labels for everyphotograph in the set. ... Processing the CamVid Database using TextonBoost gave verysimilar overall scores to

  7. Efficiently Combining Contour and TextureCues for Object Recognition…

    mi.eng.cam.ac.uk/~cipolla/publications/inproceedings/2008-BMVC-Shotton.pdf
    13 Mar 2018: Efficiently Combining Contour and TextureCues for Object Recognition. Jamie Shotton† Andrew Blake† Roberto Cipolla†Microsoft Research Cambridge University of Cambridge. ... animals). We improve on [23] by using more powerful densetexture-based

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