3 papers
cs.CV2020
Analysis and Prediction of Deforming 3D Shapes using Oriented Bounding Boxes and LSTM Autoencoders
Sara Hahner, Rodrigo Iza-Teran, Jochen Garcke
For sequences of complex 3D shapes in time we present a general approach to detect patterns for their analysis and to predict the deformation by making use of structural components…
cs.CV2020
A Compact Spectral Descriptor for Shape Deformations
Skylar Sible, Rodrigo Iza-Teran, Jochen Garcke +2
Modern product design in the engineering domain is increasingly driven by computational analysis including finite-element based simulation, computational optimization, and modern d…
cs.LG2019
Explainable Machine Learning for Scientific Insights and Discoveries
Ribana Roscher, Bastian Bohn, Marco F. Duarte +1
Machine learning methods have been remarkably successful for a wide range of application areas in the extraction of essential information from data. An exciting and relatively rece…