We present several improvements to general-purpose sequential redundancy removal. First, we propose using a robust variety of synergistic transformation and verification algorithm...
Hari Mony, Jason Baumgartner, Viresh Paruthi, Robe...
A rational Arnoldi method for passivity-preserving model-order reduction (MOR) with implicit multi-point moment matching for systems with frequency-dependent interconnects is desc...
Quming Zhou, Kartik Mohanram, Athanasios C. Antoul...
We propose machine learning methods for the estimation of deformation fields that transform two given objects into each other, thereby establishing a dense point to point correspo...
In various application domains, including image recognition, it is natural to represent each example as a set of vectors. With a base kernel we can implicitly map these vectors to...
In this paper, we present a robust, hierarchical Partition of Unity Finite Element Method (PUFEM) to compute the transformation between two images, which is represented by a non-r...