Scientific Research Publishing

Covariant-Scale: Riemannian Manifold Learning for Scale-Invariant Video Anomaly Detection ()

Video-based anomaly detection in urban surveillance faces a fundamental challenge: scale-projective ambiguity. This occurs when objects of different physical sizes appear identical in camera images ...
IEEE

A Riemannian Manifold Approach to Constrained Resource Allocation in ISAC

Abstract: This paper introduces a universal optimization framework for integrated sensing and communication (ISAC) systems, which are expected to be fundamental aspects of sixth-generation networks.
Game Rant

Destiny 2 How To Get More Nonary Manifolds

Lucas is a writer and narrative designer from Argentina with over 15 years of experience writing for games and news. He keeps a watchful eye at the gaming world and loves to write about the hottest ...
GitHub

General-Riemannian-Smoothing-Method

LAI, ZHIJIAN and YOSHISE, AKIKO,2021. The code is based on matalb solver 'Manopt'. problem.M % manifold problem.actualcost = @(x) % actual cost function, or other functions used to evaluate the ...
Scientific Research Publishing

Representation of Physical Fields as Einstein Manifold ()

In this work we investigate the possibility to represent physical fields as Einstein manifold. Based on the Einstein field equations in general relativity, we establish a general formulation for ...
PNAS

THE CONFORMAL TRANSFORMATION GROUP OF A COMPACT RIEMANNIAN MANIFOLD

This author was supported by the U.S. Air Force through the Office of Scientific Research of the Air Research and Development Command, under contract AF 49(638)-967. Note: The article usage is ...
IEEE

Learning Deep Robotic Skills on Riemannian Manifolds

Abstract: In this paper, we propose RiemannianFlow, a deep generative model that allows robots to learn complex and stable skills evolving on Riemannian manifolds. Examples of Riemannian data in ...