Titlebook: Industrial Craft in Australia; Oral Histories of Cr Jesse Adams Stein Book 2021 The Editor(s) (if applicable) and The Author(s), under excl

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,Not Fitting the Pattern: Women?in Industrial?Craft,in industrial craft. Through tracing the stories of two women—an engineering patternmaker and a patternmaking business owner—this chapter opens up questions about ongoing industrial gender segregation and institutionalised sexism, despite anti-discrimination and equal employment opportunity reforms.

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Book 2021g an alternative to the nostalgic trope of the redundant factory ‘craftsman’, this book?introduces the intriguing and little-known trade of engineering patternmaking, where objects are brought to life through the handmade ‘originals’ required for mass production..Drawing on oral histories collected

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Book 2021transform industrial craft, but should not obliterate it. Industrial craft is about more than the rudimentary production of everyday objects: it is about human creativity, material knowledge and meaningful work, and it will be key to human survival in the troubled times ahead..

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Jesse Adams Steinmaps from both stages of the network, we achieve state-of-the-art detection accuracies on several public benchmarks. For real-time performance, we run the cascaded network only on regions of interests produced from a boosting cascade face detector. Our detector runs at 30?FPS on a single CPU core fo

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Jesse Adams Steinthese heuristics into physical equations, being able to model and classify such behaviors in the videos. The resulting heuristic maps are used to extract video features to distinguish violence from normal events. Our violence detection results set the new state of the art on several standard benchma

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Jesse Adams Steined an outstanding performance in the classification task, comparing to a base CNN model that introduces more parameters and computational time, using the ILSVRC-2012 dataset?[.]. Additionally, we examined the region of interest (ROI) of different models in the classification task and analyzed the ro

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Jesse Adams Stein according to the estimation accuracy with respect to the target candidates. Specifically, the tracking is formulated as a problem of target appearance estimation. Extensive experiments on various challenging video sequences verify the effectiveness of the proposed approach and demonstrate that the