Luwen Huangfu

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Sparse Representation (SR) shows powerful discriminating power when the training samples are sufficient to construct an over-complete dictionary. However, in the lack of training samples case, the dictionary is too small to sparsely represent the test sample which restricts the classification performance of sparse representation. In order to address this(More)
We describe a strategy for the acquisition of training data necessary to build a social-media-driven early detection system for individuals at risk for (preventable) type 2 diabetes mellitus (T2DM). The strategy uses a game-like quiz with data and questions acquired semi-automatically from Twitter. The questions are designed to inspire participant(More)
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