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  2. "Refinements in Hierarchical Phrase-Based Translation…

    mi.eng.cam.ac.uk/~wjb31/ppubs/jpino2015HieroRefinementsThesis.pdf
    6 Feb 2015: Refinements in HierarchicalPhrase-Based. Translation Systems. Juan Miguel Pino. Cambridge University Engineering Department. Dissertation submitted to the University of Cambridge for the degree ofDoctor of Philosophy. Declaration. I hereby declare
  3. ./plot_entropy.eps

    mi.eng.cam.ac.uk/~ar527/chen_is2017.pdf
    15 Jun 2018: In standard systems this issue would be addressed by op-timising the language model scale factor.
  4. 1 000 001 002 003 004 005 006 007 ...

    mi.eng.cam.ac.uk/~ar527/malinin_acl2017.pdf
    19 Apr 2017: A rejection curve derived froma model should sit between the random and op-timal curves.
  5. 1 Model-Based Hand Tracking Using a HierarchicalBayesian Filter…

    mi.eng.cam.ac.uk/reports/svr-ftp/thayananthan_pami06.pdf
    14 Sep 2006: 1. Model-Based Hand Tracking Using a HierarchicalBayesian Filter. Björn Stenger , Arasanathan Thayananthan , Philip H. S. Torr ,and Roberto Cipolla. Abstract— This paper sets out a tracking framework,. which is applied to the recovery of
  6. A Comparative Study of Methods forPhonetic Decision-Tree State…

    mi.eng.cam.ac.uk/reports/svr-ftp/auto-pdf/nock_euro97.pdf
    9 Aug 2005: Thus, although the baseline systems were op-timised over a limited range of thresholds, the figures obtainedare still susceptible to some degree of noise.
  7. A Differential Volumetric Approach to Multi-View Photometric Stereo…

    mi.eng.cam.ac.uk/~cipolla/publications/inproceedings/2019-ICCV-Differential-MVPS.pdf
    12 Aug 2019: Recently, Park etal. [35] proposed a refinement method by computing an op-tical displacement map in the same 2D planar domain of thephotometric stereo images.
  8. A Differential Volumetric Approach to Multi-View Photometric Stereo…

    mi.eng.cam.ac.uk/~cipolla/archive/Publications/inproceedings/2019-ICCV-Differential-MVPS.pdf
    12 Aug 2019: Recently, Park etal. [35] proposed a refinement method by computing an op-tical displacement map in the same 2D planar domain of thephotometric stereo images.
  9. 16 Nov 2007: Op-Room noise for noise matched models retrained with corrupted training data 119. ... ment a clean speech system on RM task corrupted with Op-Room noise at 18dB.
  10. A HIERARCHICAL ATTENTION BASED MODEL FOR OFF-TOPIC SPONTANEOUSSPOKEN…

    mi.eng.cam.ac.uk/~mjfg/ALTA/publications/ASRU2017/HierarchicalAttentionBased/hierarchical-attention-based.pdf
    24 Jan 2018: The HATMalso contains an additional 200-dimensional BiLSTM prompt-searchencoder. The ATM was trained for 5 epochs with the Adam op-timizer [19], an exponentially decaying learning rate with an
  11. A HIGH-PERFORMANCE CANTONESE KEYWORD SEARCH SYSTEM

    mi.eng.cam.ac.uk/~mjfg/ICASSP13_ibm2.pdf
    13 Jun 2013: The second application of sum-to-one normalization op-timizes the term-weighted value for queries with different frequen-cies of occurrence.

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