Search

Search Funnelback University

Search powered by Funnelback
1 - 20 of 24 search results for Cambridge Animal Alphabet |u:mi.eng.cam.ac.uk where 0 match all words and 24 match some words.
  1. Results that match 2 of 3 words

  2. 4 Nov 2018: When more powerful. This research was partly funded under the ALTA Institute, Universityof Cambridge. ... ForEnglish, it is straightforward to form this from the 26 alphabet letters/a-z/.
  3. 15 Jun 2018: Thanks to Cambridge English Language Assessment forsupporting this research and providing access to the BULATS data. ... Cambridge Uni-versity Press, 2001. [21] F. Diehl, M. J. F. Gales, X.
  4. 15 Jun 2018: The alphabet letters /a-z/ formthe base grapheme set, with two additional root graphemes,/G00,G01/, to model hesitation events. ... 32] S. Young et al., The HTK book (for HTK version 3.5).University of Cambridge, 2015.
  5. PHONETIC AND GRAPHEMIC SYSTEMS FOR MULTI-GENRE BROADCASTTRANSCRIPTION …

    mi.eng.cam.ac.uk/~mjfg/ALTA/publications/ICASSP2018_YuWang.pdf
    12 Sep 2018: When more powerful. This research was partly funded under the ALTA Institute, Universityof Cambridge. ... ForEnglish, it is straightforward to form this from the 26 alphabet letters/a-z/.
  6. Semantic object classes in video: A high-definition ground truth…

    mi.eng.cam.ac.uk/~cipolla/publications/article/2009-PR-car-video-database.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. Semantic object classes in video: A high-definition ground truth…

    mi.eng.cam.ac.uk/~cipolla/archive/Publications/article/2009-PR-car-video-database.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
  8. doi:10.1016/j.patrec.2008.04.005

    mi.eng.cam.ac.uk/~cipolla/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
  9. 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
  10. IB-interestpoints.dvi

    mi.eng.cam.ac.uk/~cipolla/lectures/PartIB/old/2018-IB-handout2.pdf
    14 May 2018: University of Cambridge. Engineering Part IB. Paper 8 Information Engineering. Handout 2: Feature Extraction. ... animals, wood and skin. They typically consist of organised. patterns of regular sub-elements called textons.
  11. 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
  12. Unsupervised Bayesian Detection of Independent Motion in Crowds…

    mi.eng.cam.ac.uk/~cipolla/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
  13. A New Distance for Scale-Invariant 3D Shape Recognition and ...

    mi.eng.cam.ac.uk/~cipolla/publications/inproceedings/2011-ICCV-3D-object-recognition.pdf
    13 Mar 2018: Woodford1 Frank Perbet1 Atsuto Maki1 Björn Stenger1 Roberto Cipolla21Cambridge Research Laboratory, Toshiba Research Europe Ltd, Cambridge, UK. ... 2Department of Engineering, University of Cambridge, Cambridge,
  14. Efficiently Combining Contour and TextureCues for Object Recognition…

    mi.eng.cam.ac.uk/~cipolla/archive/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
  15. Multiscale Categorical Object RecognitionUsing Contour Fragments…

    mi.eng.cam.ac.uk/~cipolla/publications/article/2008-PAMI-contour-recognition.pdf
    13 Mar 2018: A. Blake is with Microsoft Research, Roger Needham Building, 7 JJThomson Ave., Cambridge, CB3 0FB, UK. ... E-mail: ablake@microsoft.com. R. Cipolla is with the Department of Engineering, Cambridge University,Trumpington St., Cambridge, CB2 1PZ, UK.E-mail:
  16. Silhouette-based Object Phenotype Recognition using 3D Shape Priors…

    mi.eng.cam.ac.uk/~cipolla/publications/inproceedings/2011-ICCV-Chen-priors.pdf
    13 Mar 2018: Department of Engineering, University of Cambridge, Cambridge, UK1. Department of Electrical Engineering, Imperial College, London, UK2. ... wild animal (such as horse and fish) tracking, etc.In this work, we address a novel challenging task of.
  17. 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
  18. Structured Deep Neural Networks for Speech Recognition

    mi.eng.cam.ac.uk/~mjfg/thesis_cw564.pdf
    12 Jul 2018: Structured Deep Neural Networks. for Speech Recognition. Chunyang Wu. Department of EngineeringUniversity of Cambridge. ... The friends I made in Cambridge will be a treasure forever.
  19. A New Distance for Scale-Invariant 3D Shape Recognition and ...

    mi.eng.cam.ac.uk/~cipolla/archive/Publications/inproceedings/2011-ICCV-3D-object-recognition.pdf
    13 Mar 2018: Woodford1 Frank Perbet1 Atsuto Maki1 Björn Stenger1 Roberto Cipolla21Cambridge Research Laboratory, Toshiba Research Europe Ltd, Cambridge, UK. ... 2Department of Engineering, University of Cambridge, Cambridge,
  20. Silhouette-based Object Phenotype Recognition using 3D Shape Priors…

    mi.eng.cam.ac.uk/~cipolla/archive/Publications/inproceedings/2011-ICCV-Chen-priors.pdf
    13 Mar 2018: Department of Engineering, University of Cambridge, Cambridge, UK1. Department of Electrical Engineering, Imperial College, London, UK2. ... wild animal (such as horse and fish) tracking, etc.In this work, we address a novel challenging task of.
  21. Multiscale Categorical Object RecognitionUsing Contour Fragments…

    mi.eng.cam.ac.uk/~cipolla/archive/Publications/article/2008-PAMI-contour-recognition.pdf
    13 Mar 2018: A. Blake is with Microsoft Research, Roger Needham Building, 7 JJThomson Ave., Cambridge, CB3 0FB, UK. ... E-mail: ablake@microsoft.com. R. Cipolla is with the Department of Engineering, Cambridge University,Trumpington St., Cambridge, CB2 1PZ, UK.E-mail:

Refine your results

Search history

Recently clicked results

Recently clicked results

Your click history is empty.

Recent searches

Recent searches

Your search history is empty.