Results 251 to 260 of about 1,438,246 (328)

Hyperbolic geometry enhanced feature filtering network for industrial anomaly detection. [PDF]

Sci Rep
Feng Y, Liu J, Gai Y.
europepmc   +1 more source

Quasi Sasakian manifold endowed with vanishing pseudo quasi conformal curvature tensor. [PDF]

MethodsX
AlHusseini FH, Abood HM.
europepmc   +1 more source

Local Information-Theoretic Security via Euclidean Geometry [PDF]

Emmanouil M. Athanasakos, N. Kalouptsidis, Hariprasad Manjunath   +2 more
openalex   +1 more source

Riemannian L-systems: modelling growing forms in curved spaces. [PDF]

Quant Plant Biol
Godin C, Boudon F.
europepmc   +1 more source

Physics‐Driven Deep Neural Networks for Solving the Optimal Transport Problem Associated With the Monge–Ampère Equation

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Monge–Ampère equations (MAEs) are fully nonlinear second‐order partial differential equations (PDEs), which are closely related to various fields including optimal transport (OT) theory, geometrical optics and affine geometry. Despite their significance, MAEs are extremely challenging to solve.
Xinghua Pan, Zexin Feng, Kang Yang
wiley   +1 more source

Quadratic Motion Polynomials with Irregular Factorizations. [PDF]

Adv Appl Clifford Algebr
Thimm DA, Li Z, Schröcker HP, Siegele J.   +3 more
europepmc   +1 more source

AVCLNet: Multimodal Multispeaker Tracking Network Using Audio‐Visual Contrastive Learning

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Audio‐visual speaker tracking aims to determine the locations of multiple speakers in the scene by leveraging signals captured from multisensor platforms. Multimodal fusion methods can improve both the accuracy and robustness of speaker tracking.
Yihan Li, Yidi Li, Zhenhuan Xu, Hao Guo, Mengyuan Liu, Weiwei Wan   +5 more
wiley   +1 more source

Lorentz-regularized interpretable VAE for multi-scale single-cell transcriptomic and epigenomic embeddings. [PDF]

Front Genet
Fu Z, Fu J, Chen C, Zhang K, Wang S.
europepmc   +1 more source

UNO: Unified Self‐Supervised Monocular Odometry for Platform‐Agnostic Deployment

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT This work presents UNO, a unified monocular visual odometry framework that enables robust and adaptable pose estimation across diverse environments, platforms and motion patterns. Unlike traditional methods that rely on deployment‐specific tuning or predefined motion priors, our approach generalises effectively across a wide range of real ...
Wentao Zhao, Yihe Niu, Yanbo Wang, Tianchen Deng, Shenghai Yuan, Zhenli Wang, Rui Guo, Jingchuan Wang   +7 more
wiley   +1 more source