Hasil Pencarian - David Rawlinson

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  1. 1
    Generating adaptive behaviour within a memory-prediction framework.

    Generating adaptive behaviour within a memory-prediction framework. oleh David Rawlinson, Gideon Kowadlo

    Diterbitkan 2012-01-01
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  2. 2
    Robust Observation Detection for Single Object Tracking: Deterministic and Probabilistic Patch-Based Approaches

    Robust Observation Detection for Single Object Tracking: Deterministic and Probabilistic Patch-Based Approaches oleh Mohd Asyraf Zulkifley, Bill Moran, David Rawlinson

    Diterbitkan 2012-11-01
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  3. 3
    Robust Foreground Detection: A Fusion of Masked GreyWorld, Probabilistic Gradient Information and Extended Conditional Random Field Approach

    Robust Foreground Detection: A Fusion of Masked GreyWorld, Probabilistic Gradient Information and Extended Conditional Random Field Approach oleh David Rawlinson, Bill Moran, Mohd Asyraf Zulkifley

    Diterbitkan 2012-05-01
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  4. 4
    COLLEGE STUDENT HOME COMPUTER SECURITY ADOPTION

    COLLEGE STUDENT HOME COMPUTER SECURITY ADOPTION oleh Chet Claar, Robert Shields, David Rawlinson, Robert Lupton

    Diterbitkan 2013-01-01
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  5. 5
    Expanding continual few-shot learning benchmarks to include recognition of specific instances.

    Expanding continual few-shot learning benchmarks to include recognition of specific instances. oleh Gideon Kowadlo, Abdelrahman Ahmed, Amir Mayan, David Rawlinson

    Diterbitkan 2024-01-01
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  6. 6
    Stability of bivariate GWAS biomarker detection.

    Stability of bivariate GWAS biomarker detection. oleh Justin Bedő, David Rawlinson, Benjamin Goudey, Cheng Soon Ong

    Diterbitkan 2014-01-01
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  7. 7
    The use of multi-sourced linked datasets in evaluating the Emergency Medical Retrieval and Transfer Service (EMRTS) CYMRU

    The use of multi-sourced linked datasets in evaluating the Emergency Medical Retrieval and Transfer Service (EMRTS) CYMRU oleh David Rawlinson, Jane Lyons, Ronan A Lyons, Richard J Fry

    Diterbitkan 2017-04-01
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  8. 8
    Labour-efficient in vitro lymphocyte population tracking and fate prediction using automation and manual review.

    Labour-efficient in vitro lymphocyte population tracking and fate prediction using automation and manual review. oleh Rajib Chakravorty, David Rawlinson, Alan Zhang, John Markham, Mark R Dowling, Cameron Wellard, Jie H S Zhou, Philip D Hodgkin

    Diterbitkan 2014-01-01
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