This paper tackles the Fourier Transform (FT) PR problem for sparse signals. We recast the FT PR as a novel optimization problem on the Riemannian manifold by leveraging the sparsity and structural ...

In application to general relativity, we use the space model corresponding to the special four-dimensional space which is Euclidean with respect to space coordinates and Riemannian with respect to the ...

This limitation hinders the representation learning capability of the models. To address this issue, this paper focuses on how to better extend the representation learning from a single space to ...

Bloc Party will celebrate the 20th anniversary of their 2005 album Silent Alarm with a 2025 North American tour. They’ll also be bringing Metric along, who will play their 2009 album Fantasies in full ...

They appear in a very natural manner in many areas of mathematics and physics. On a differential manifold or more generally on a geodesic metric space, one investigates geometric and analytic ...

In this section, we give a brief review of several parity-violating gravities. We first present the most classical and the simplest parity-violating gravity in the Riemannian geometric framework, ...

The Fisher kernel (4b), on the other hand, respects the structure of the parameters in their original Riemannian manifold by working in the gradient space. We then construct kernel matrices (κ), where ...

HiveMQ extension for transferring monitoring data to the time series database InfluxDB ...

Bachelor Thesis:Non-Stationarity in the Train-Scheduling-Problem: Leveraging Effects of Curriculum Learning ...