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The problem of using covariates to predict shapes of objects in a regression setting is important in many fields. A formal statistical approach, termed geodesic regression model, is commonly used for ...
In this work, the shape optimization problem of a solid immersed in the incompressible fluid governed by Navier-Stokes equations is considered. Based on the continuous adjoint method, the shape gradie...
IUTAM Symposium on Phase transformation in shape memory materials: modeling and applications.
This tutorial lecture aims at providing an overview of the recent advances around deep learning techniques in computer vision. Some amount of exposure to the modern computer vision and machine learni...
The International Conference on Shape Memory and Superelastic Technologies (SMST) will be held May 15 – 19, 2017 in beautiful Paradise Point in San Diego, California, USA.

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