Yuchen Zheng

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In recent years, many deep architectures have been proposed for handwritten text recognition. However, most of the previous deep models need large scale training data and a long training time to obtain good results. In this paper, we propose a novel deep learning method based on “stretching” the projection matrices of stacked feature learning(More)
Channel reservation is a valid technique to reduce dropping probability when spectrum handover happens in cognitive radio. Most of the existing channel reservation schemes focus on proper number of the channels reserved and the number is fixed for a certain system. These static channel reservation schemes bring high blocking probability. In this paper,(More)
In recent years, many deep architectures have been proposed in different fields. However, to obtain good results, most of the previous deep models need a large number of training data. In this paper, for small and middle scale applications, we propose a novel deep learning framework based on stacked feature learning models. Particularly, we stack marginal(More)
BACKGROUND Eating disorder is culture related, and the clinical symptoms are different between eastern and western patients. So the validity of feeding and eating disorders in the upcoming ICD-11 guide for Chinese patients is unclear. AIMS To explore the latent class structure of Chinese patients with eating disorder and the cross-cultural validity of the(More)
BACKGROUND This study introduces a framework for analyzing and visualizing health care utilization for millions of children, with a focus on pediatric asthma, one of the major chronic respiratory conditions. METHODS The data source is the 2005 to 2012 Medicaid Analytic Extract claims for 10 Southeast states. The study population consists of(More)
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