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1 - 10 of 109 search results for KaKaoTalk:po03 op |u:mi.eng.cam.ac.uk where 0 match all words and 109 match some words.

  1. Results that match 1 of 2 words

  2. ./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.

  3. 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

  4. A Network-based End-to-End Trainable Task-oriented Dialogue System…

    mi.eng.cam.ac.uk/~sjy/papers/wgmv17.pdf
    20 Feb 2018: On-line active reward learning for policy op-timisation in spoken dialogue systems.

  5. A Simple Technique for Self-Calibration

    mi.eng.cam.ac.uk/~cipolla/publications/inproceedings/1999-CVPR-self-calibration.pdf
    13 Mar 2018: This goal is achieved by solving an op-timization problem by numerical techniques, searching di-rectly for the intrinsic parameters of the cameras, instead ofthe indirect search performed by the algorithms

  6. A Simple Technique for Self-Calibration

    mi.eng.cam.ac.uk/~cipolla/publications/inproceedings/1999-CVPR-Mendonca-self-calibration.pdf
    13 Mar 2018: This goal is achieved by solving an op-timization problem by numerical techniques, searching di-rectly for the intrinsic parameters of the cameras, instead ofthe indirect search performed by the algorithms

  7. A Simple Technique for Self-Calibration

    mi.eng.cam.ac.uk/~cipolla/archive/Publications/inproceedings/1999-CVPR-self-calibration.pdf
    13 Mar 2018: This goal is achieved by solving an op-timization problem by numerical techniques, searching di-rectly for the intrinsic parameters of the cameras, instead ofthe indirect search performed by the algorithms

  8. A Simple Technique for Self-Calibration

    mi.eng.cam.ac.uk/~cipolla/archive/Publications/inproceedings/1999-CVPR-Mendonca-self-calibration.pdf
    13 Mar 2018: This goal is achieved by solving an op-timization problem by numerical techniques, searching di-rectly for the intrinsic parameters of the cameras, instead ofthe indirect search performed by the algorithms

  9. A Unifying Resolution-Independent Formulation for Early Vision∗ Fabio …

    mi.eng.cam.ac.uk/~cipolla/publications/inproceedings/2012-CVPR-Viola.pdf
    13 Mar 2018: Our implementation has been optimizedfor speed at an algorithmic level by use of second order op-timizers, and by limiting the number of polygon clippingsrequired, but has not been micro-optimized.

  10. A Unifying Resolution-Independent Formulation for Early Vision∗ Fabio …

    mi.eng.cam.ac.uk/~cipolla/archive/Publications/inproceedings/2012-CVPR-Viola.pdf
    13 Mar 2018: Our implementation has been optimizedfor speed at an algorithmic level by use of second order op-timizers, and by limiting the number of polygon clippingsrequired, but has not been micro-optimized.

  11. AAAI Proceedings Template

    mi.eng.cam.ac.uk/~sjy/papers/wipy05b.pdf
    20 Feb 2018: S. sn. nsbsb. 1. )()(maxargˆ)( υππ (16). Thus the value-function method provides both a parti-tioning of belief space into regions corresponding to op-timal actions as well as the

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