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  2. 13 Jul 2006: Who to contact. This page has been created in an attempt to help people who wish to contact us, or obtain information aboutor the University of Cambridge to either find out
  3. Royal Society Meeting on Geometry in Computer Vision

    mi.eng.cam.ac.uk/~cipolla/royal_society.html
    28 Nov 2006: 16. Prof. J.M. Brady: Summary and closing remarks. Registration. For those wishing to attend the meeting there is no cost, but it is required that people register so that numbers
  4. Who Really Spoke When? Finding Speaker Turns and Identities in…

    mi.eng.cam.ac.uk/reports/full_html/tranter_icassp06.html/
    9 Dec 2006: as locating particular speakers in databases, tracking speakers across multiple audio documents or broadcasts, or finding which people support which views in multi-speaker debates. ... For example, speaker models can be built for people who are likely to
  5. 22 Nov 2006: Word-lists and Language Models: In addition to the 72 hours ofacoustic training, six news corpora were used to train the languagemodel, Mandarin TDT[2,3,4], China Radio, People’s
  6. Unsupervised Bayesian Detection of Independent Motion in Crowds…

    mi.eng.cam.ac.uk/reports/svr-ftp/brostow_MotionInCrowdsCVPR06.pdf
    14 Sep 2006: The algo-rithm is tested to give quantitative results on crowds of upto 33 people. ... 16] D. Ramanan and D. A. Forsyth. Finding and tracking people from the bottomup.
  7. 22 Nov 2006: Mandarin TDT[2,3,4], Gigaword (XinHua) and People’s Daily.
  8. On Person Authentication by Fusing Visual and Thermal Face ...

    mi.eng.cam.ac.uk/reports/svr-ftp/arandjelovic_AVSS06.pdf
    1 Sep 2006: The practical importance of this can be seen bynoting that in the US in 2000 roughly 96 million people, or34% of the total population, wore prescription glasses [18]. ... 1-to-N and 1-to-1 matching scenarios. In the former case,we assumed that test data
  9. WHO REALLY SPOKE WHEN?FINDING SPEAKER TURNS AND IDENTITIES IN ...

    mi.eng.cam.ac.uk/reports/svr-ftp/tranter_icassp06.pdf
    9 Dec 2006: particular speakers in databases,tracking speakers across multiple audio documents or broadcasts, orfinding which people support which views in multi-speaker debates.This work considers an extension to the ‘who spoke ... For exam-ple, speaker models
  10. EUROGRAPHICS 2006 / E. Gröller and L. Szirmay-Kalos(Guest Editors) ...

    mi.eng.cam.ac.uk/reports/svr-ftp/johnson_semantic06.pdf
    1 Jun 2006: Our primary contribution is a new method forcreating images of specific things and people, with minimalhuman effort. ... The canvas also accepts other similar semantic labels suchas proper names of people, and can be supplemented withcopy-pasted islands
  11. techreport_20060422MJ.dvi

    mi.eng.cam.ac.uk/reports/svr-ftp/brostow_Eurographics06.pdf
    14 Sep 2006: Our primary contributionis a new method for creating images of specific thingsand people, with minimal human effort. ... semantic labels such as proper names of people, andcan be supplemented with copy-pasted islands of pixelsfor categories that lack

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