714 research outputs found

    Well-M³N: A Maximum-Margin Approach to Unsupervised Structured Prediction

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    Unsupervised structured prediction is of fundamental importance for the clustering and classification of unannotated structured data. To date, its most common approach still relies on the use of structural probabilistic models and the expectation-maximization (EM) algorithm. Conversely, structural maximum-margin approaches, despite their extensive success in supervised and semi-supervised classification, have not raised equivalent attention in the unsupervised case. For this reason, in this paper we propose a novel approach that extends the maximum-margin Markov networks (M3N) to an unsupervised training framework. The main contributions of our extension are new formulations for the feature map and loss function of M3N that decouple the labels from the measurements and support multiple ground-truth training. Experiments on two challenging segmentation datasets have achieved competitive accuracy and generalization compared to other unsupervised algorithms such as k-means, EM and unsupervised structural SVM, and comparable performance to a contemporary deep learning-based approach

    A γA-Crystallin Mouse Mutant Secc with Small Eye, Cataract and Closed Eyelid

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    Outcome analysis of management of liver trauma: A 10-year experience at a trauma center

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    Gastrointestinal bleeding of obscured origin due to cystic artery pseudoaneurysm

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    Cystic artery pseudoaneurysm is a rare condition, which usually arises from the complication of gallstone disease. Patients may present with Quinke's triad (epigastric pain, obstructive jaundice, and gastrointestinal bleeding). The results can be fatal if present with a ruptured pseudoaneurysm. We report a patient who presented with upper gastrointestinal bleeding, and later diagnosis was confirmed with a computer tomography scan of the abdomen and a three-vessel angiogram. Endovascular intervention was attempted. Although it failed, the patient was eventually cured with an open cholecystectomy. © 2015

    An integrated electronic medical record system (iEMRS) with decision support capability in medical prescription

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    Author name used in this manuscript: George T. S. Ho2012-2013 > Academic research: refereed > Publication in refereed journalAccepted ManuscriptPublishe

    The Nucleosome Assembly Protein TSPYL2 Regulates the Expression of NMDA Receptor Subunits GluN2A and GluN2B

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    Use of interferon gamma release assay to assess latent tuberculosis infection among healthcare workers in Hong Kong

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    Key Messages 1. Overall baseline interferon gamma release assay positivity was 20.7%. 2. The conversion to interferon gamma release assay positivity at 3 months was 8.85% in the exposed group and 4.54% in the non-exposed group using the conventional cut-off of 0.35 IU/mL. 3. When grey zone results (0.2I-0.7 IU/mL) were included, the proportion of non-specific conversions and reversions could be reduced. 4. Interferon gamma release assay can be an adjunct tool in contact investigation of latent tuberculosis infection in healthcare workers.published_or_final_versio
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