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61 - 70 of 76 search results for People aliens |u:mi.eng.cam.ac.uk where 0 match all words and 76 match some words.
  1. Results that match 1 of 2 words

  2. 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
  3. Bin Jia, Khe Chai Sim et al: CU-HTK RT03 ...

    mi.eng.cam.ac.uk/research/projects/EARS/pubs/jia_rt03s.pdf
    23 Jun 2003: Language Model. • Sources of data (using LDC character-to-word segmentor)– Acoustic training data (modifier Kneser-Ney)– News corpora: TDT[2,3,4], China Radio, People’s Daily, Xinhua (Good-.
  4. 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.
  5. 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
  6. Face Recognition from Face Motion Manifolds using Robust…

    mi.eng.cam.ac.uk/reports/svr-ftp/oa214_FPIV_2004_paper1.pdf
    8 Aug 2005: Recognition ratesof 97–100% are consistently achieved on databases of 35–90 people. ... Shown is the identificationrate (%) for five databases of 35 people (1–5) and one of 90 (6).
  7. 4 BEAR, TAYLOR: VISUAL SPEECH RECOGNITION: A MINI REVIEW ...

    mi.eng.cam.ac.uk/UKSpeech2017/posters/h_bear_poster2.pdf
    23 Dec 2017: Most people, including those with perfect hearing, use visual information from thespeaker’s face and body to decode speech when it is available.
  8. 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
  9. 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
  10. Spoken Document Retrieval for TREC-7 at Cambridge University

    mi.eng.cam.ac.uk/reports/full_html/johnson_trec7.html/
    30 Mar 2000: An example of the word-pairs added in this way is:. CU60 :. How many people have been murdered by the IRA in. Northern Ireland.
  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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