Learn to create a yield curve in Excel and understand its implications for interest rate forecasting. Follow our simple guide ...
Abstract: Small target detection in high-resolution sea clutter is one of the important problems in radar target detection. We propose a new detector that adopts the visibility graph (VG) algorithm ...
Abstract: Automated multi-label chest X-ray (CXR) image classification has recently made significant progress in clinical diagnosis based on the advanced deep learning techniques. However, most ...
Abstract: In this paper we describe a new technique for general purpose interactive segmentation of N-dimensional images. The user marks certain pixels as "object" or "background" to provide hard ...
Abstract: Motivated by the vast applications of knowledge graph and the increasing demand in education domain, we propose a system, called KnowEdu, to automatically construct knowledge graph for ...
Abstract: Action recognition with skeleton data is attracting more attention in computer vision. Recently, graph convolutional networks (GCNs), which model the human body skeletons as spatiotemporal ...
Abstract: Deep convolutional neural network (CNN), although recognized to be considerably successful in its application to semantic segmentation, is inadequate for extracting the overall structure ...
Abstract: Automatic radiology reporting has great clinical potential to relieve radiologists from heavy workloads and improve diagnosis interpretation. Recently, researchers have enhanced data-driven ...
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