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Showing 1 to 2 of 2 for “"Feature estimation"”.
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Lagrangian-based Simplification and Feature Estimation for Flow Visualization
… configurations, making their analysis for feature detection challenging. In addition, directly visualizing Lagrangian-based flow data (i.e., rendering the particle trajectories or integral curves provided by the data) will easily lead to clutter and occlusion. To address the aforementioned …
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Application of supervised and unsupervised learning to analysis of the arterial pressure pulse
… is used to derive supervised models that enable estimation of arterial pressures, based on the measured wave shapes. Independent component analysis (ICA) is also used in a supervised learning methodology to show the theoretical plausibility of separating the pressure signals from unwanted noise …