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41 - 50 of 87 search results for postgraduate entry requirements |u:mi.eng.cam.ac.uk where 2 match all words and 85 match some words.
  1. Results that match 2 of 3 words

  2. sig-004.dvi

    mi.eng.cam.ac.uk/~sjy/papers/gayo07.pdf
    20 Feb 2018: Foundations and Trends R inSignal ProcessingVol. 1, No. 3 (2007) 195–304c 2008 M. Gales and S. YoungDOI: 10.1561/2000000004. The Application of Hidden Markov Modelsin Speech Recognition. Mark Gales1 and Steve Young2. 1 Cambridge University
  3. 9 Aug 2005: Both their large size (and consequent memory requirements),and the training set sparseness associated with large numbers of parameters, limits n to 2, 3 or perhaps4. ... from the symmetry requirement, we may write:. Probability in of any event occurring
  4. Minimum Bayes-Risk Techniquesin Automatic Speech Recognition and…

    mi.eng.cam.ac.uk/~wjb31/ppubs/ShankarKumarDiss04.pdf
    16 Feb 2008: 82. 4.2 Distribution of the number of words in the target and the sourcephrases over the Phrase-Pair Inventory on the French-English Task.The entries are phrase-pair counts ... 83. 4.3 Distribution of the number of words in the target and the
  5. 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: 10] quantize translations and rotations in twoseparate 3D arrays; peak entries in both arrays indicate thepose of the object, but multiple objects create ambiguities.Knopp et al. ... This is not practical using Hough-based approaches,due to their
  6. sig-004.dvi

    mi.eng.cam.ac.uk/~mjfg/mjfg_NOW.pdf
    19 Mar 2008: Foundations and Trends R inSignal ProcessingVol. 1, No. 3 (2007) 195–304c 2008 M. Gales and S. YoungDOI: 10.1561/2000000004. The Application of Hidden Markov Modelsin Speech Recognition. Mark Gales1 and Steve Young2. 1 Cambridge University
  7. BUDVYTIS et al.: LABEL PROPAGATION 1 Label propagation in ...

    mi.eng.cam.ac.uk/~cipolla/publications/inproceedings/2010-BMVC-label-propagation.pdf
    13 Mar 2018: Parts around the vanishing point and entry points of moving objects into the scene, suchas cross roads. ... Computational requirements The E-step in algorithm2 was implemented in C# with a 8core processor at a cost of 90s/frame.
  8. Improving Attention-based Sequence-to-sequence Models

    mi.eng.cam.ac.uk/~mjfg/thesis_qd212.pdf
    5 Jul 2022: The weights, i.e. the entries of an attention vector,indicate the focus on the input tokens.
  9. 5 Jun 2006: MODEL-BASED TECHNIQUES FORNOISE ROBUST SPEECH RECOGNITION. Mark John Francis Gales. Gonville and Caius College. September 1995. Dissertation submitted to the University of Cambridgefor the degree of Doctor of Philosophy. Declaration. This
  10. PhD Thesis

    mi.eng.cam.ac.uk/~mjfg/thesis_ky219.pdf
    16 Nov 2007: writing. The firm requirements and countless guidance on these aspects have given me the.
  11. 20 Feb 2018: As indicated in the preceding section, there are strong indicators that humans exploit similar mechanisms and overall, POMDPs appear to address all of the requirements listed in the introduction for an

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