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The manuscripts of the Middle English Lay Folks’ Mass Book in context
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The pragmatics of punctuation in Middle English documentary texts
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Methodising Scots: the cases of Allan Ramsay and Thomas Ruddiman
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On scriptae: correlating spelling and script in late Middle English
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Transforming Early English: the Reinvention of Early English and Older Scots
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Methodising Scots: the Cases of Allan Ramsay & Thomas Ruddiman
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In: Studies in Scottish Literature (2020)
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'The Lay Folks' Mass Book' and Thomas Frederick Simmons: medievalism and the Tractarians
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From secreit script to public print: punctuation, news management and the condemnation of the Earl of Bothwell
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Multiscale Convolutional Neural Networks for Hand Detection
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Abstract:
Unconstrained hand detection in still images plays an important role in many hand-related vision problems, for example, hand tracking, gesture analysis, human action recognition and human-machine interaction, and sign language recognition. Although hand detection has been extensively studied for decades, it is still a challenging task with many problems to be tackled. The contributing factors for this complexity include heavy occlusion, low resolution, varying illumination conditions, different hand gestures, and the complex interactions between hands and objects or other hands. In this paper, we propose a multiscale deep learning model for unconstrained hand detection in still images. Deep learning models, and deep convolutional neural networks (CNNs) in particular, have achieved state-of-the-art performances in many vision benchmarks. Developed from the region-based CNN (R-CNN) model, we propose a hand detection scheme based on candidate regions generated by a generic region proposal algorithm, followed by multiscale information fusion from the popular VGG16 model. Two benchmark datasets were applied to validate the proposed method, namely, the Oxford Hand Detection Dataset and the VIVA Hand Detection Challenge. We achieved state-of-the-art results on the Oxford Hand Detection Dataset and had satisfactory performance in the VIVA Hand Detection Challenge.
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URL: http://livrepository.liverpool.ac.uk/3006859/ http://livrepository.liverpool.ac.uk/3006859/1/Author_Tex.pdf
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The evolution of Old and Middle English texts: linguistic form and practices of literacy
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Scots and English across the Union: linguistic connexions and contrasts
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Smith, Jeremy. - : Association for Scottish Literary Studies, 2016
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