Adaptive filter with Riemannian manifold constraint. [PDF]
Mejia J +3 more
europepmc +1 more source
Robust Beamforming for ISAC Systems via Probability of Detection Optimisation
We propose a two‐step robust beamforming design for ISAC that maximises multi‐target detection probability while satisfying multi‐user SINR and per‐antenna power constraints. A sensing‐only Riemannian optimisation on the oblique manifold shapes the transmit covariance, followed by SDR‐based reconstruction to enforce communication guarantees ...
Yong Wang, Xianren Kong
wiley +1 more source
Conformal retrofitting via Riemannian manifolds: distilling task-specific graphs into pretrained embeddings [PDF]
Justin Dieter, Arun Tejasvi Chaganty
openalex +1 more source
A note on closed vector fields
Special vector fields, such as conformal vector fields and Killing vector fields, are commonly used in studying the geometry of a Riemannian manifold. Though there are Riemannian manifolds, which do not admit certain conformal vector fields or certain ...
Nasser Bin Turki +2 more
doaj +1 more source
A study on the combination of functional connection features and Riemannian manifold in EEG emotion recognition. [PDF]
Wu M +5 more
europepmc +1 more source
Vector‐Based and Machine Learning Approaches for Pore Network Parameters Analysis
ABSTRACT Accurate characterization of pore structures in carbonate rocks is critical for evaluating fluid flow and storage capacity in subsurface reservoirs, a key concern in geophysical exploration and reservoir engineering. This study proposes a hybrid digital rock physics workflow that integrates deep learning–based segmentation, vectorial geometric
José Frank V. Gonçalves +4 more
wiley +1 more source
On a Semi-symmetric Non-metric Connection Satisfying the Schur`s Theorem on a Riemannian Manifold [PDF]
Ho Tal Yun
openalex +2 more sources
Uncovering shape signatures of resting-state functional connectivity by geometric deep learning on Riemannian manifold. [PDF]
Dan T +5 more
europepmc +1 more source
Separability in Riemannian Manifolds [PDF]
An outline of the basic Riemannian structures underlying the separation of variables in the Hamilton-Jacobi equation of natural Hamiltonian systems.
openaire +3 more sources
Abelian Livšic theorems for Anosov flows
Abstract We give two short proofs of the abelian Livšic theorem of Gogolev and Rodriguez Hertz. We show that these proofs may be extended to give new abelian Livšic theorems for positive density sets of null‐homologous orbits and for amenable covers.
Richard Sharp
wiley +1 more source

