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Found 4 papers, 0 papers with code
Efficient Numerical Wave Propagation Enhanced By An End-to-End Deep Learning Model
Recent advances in wave modeling use sufficiently accurate fine solver outputs to train a neural network that enhances the accuracy of a fast but inaccurate coarse solver.
Linear Regression on Manifold Structured Data: the Impact of Extrinsic Geometry on Solutions
We assume that the data manifold is smooth and is embedded in a Euclidean space, and our objective is to reveal the impact of the data manifold's extrinsic geometry on the regression.
Side Effects of Learning from Low-dimensional Data Embedded in a Euclidean Space
In this setting, a typical neural network defines a function that takes a finite number of vectors in the embedding space as input.
An Elastic Image Registration Approach for Wireless Capsule Endoscope Localization
The results of the experimental tests with real WCE video frames show the good performance of the proposed approach, when elastic deformations of the small intestine are involved in successive frames, and its superiority with respect to a multiscale affine image registration, which accounts for rigid-like deformations only and discards elastic deformations.
