This research examined the normalized Ricci flow of invariant Riemannian metrics on generalized Wallach spaces and generalized flag manifolds. The study utilized techniques from differential ...

Note that neither sample-wise measures, nor normalized command delivery metrics are affected by the threshold value set throughout the recordings. When comparing the performance of the various ...

Specifically, it can compute the Riemannian metric tensor of the latent space of the generator, pulling back certain image distance function (e.g. LPIPS). Then the eigen structure of the metric tensor ...

https://doi.org/10.1142/9789813208933_0001Cited by:0 (Source: Crossref) ...

Another innovative technique is Discrete Metric Learning (DML), which leverages the Riemannian manifold to facilitate fast image set classification. By minimizing the Hamming distance between ...

In this work, we present a distributed multirobot mapping and planning method, called Riemannian optimization for active mapping (ROAM). We formulate an optimization problem over a graph with node ...

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, ...

It supports some basic code quality and graph metrics and provides a simple and intuitive way to explore and analyze a codebase by using graph structures. octocov is a toolkit for collecting code ...

Or, rather, the sheer amount of it that is available to teams across every business area. Whereas most enterprises used common traditional performance metrics like revenue growth and efficiency, the ...

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