AIDN is a deep learning algorithm to represent any finitely-presented algebraic object with a set of deep neural networks. AIDN can compute linear and non-linear representations of most ...

Abstract: An efficient numerical algorithm is presented for the solution of transients in systems consisting of dynamic components with both slow and fast eigenvalues, interconnected at their ...

An interval is a pair of numbers which represents all the numbers between them, closed means that the bounds are also included in the representation, extended real because the real number system is ...

Abstract: The 3D pose estimation problem - aligning pairs of noisy 3D point clouds - is a problem with a wide variety of real-world applications. Here we focus on the use of quaternion-based neural ...