Results 51 to 60 of about 281 (108)

Asymmetric canonical correlation analysis of Riemannian and high-dimensional data. [PDF]

Electron J Stat
Buenfil J, Lila E.
europepmc   +1 more source

LAIOR: a hyperbolic neural ODE variational framework for interpretable single-cell manifold learning and trajectory inference. [PDF]

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

Class-balanced dermoscopic lesion segmentation using MoG-LISA and optimized Swin-UNet via the GM-FDE framework. [PDF]

iScience
Muthamil Selvan S, Kavitha R.
europepmc   +1 more source

Comparing Geodesic Filtering to State-of-the-Art Algorithms: A Comprehensive Study and CUDA Implementation. [PDF]

J Imaging
Boulanger P, Bin Hasan S.
europepmc   +1 more source

Exploring the neuromagnetic signatures of cognitive decline from mild cognitive impairment to Alzheimer's disease dementia. [PDF]

EBioMedicine
Gaubert S, Garces P, Hipp J, Bruña R, Lopéz ME, Maestu F, Vaghari D, Henson R, Paquet C, Engemann DA.   +9 more
europepmc   +1 more source

A Wasserstein-Type Distance for Gaussian Mixtures on Vector Bundles with Applications to Shape Analysis. [PDF]

SIAM J Imaging Sci
Wilson M, Needham T, Park C, Kundu S, Srivastava A.   +4 more
europepmc   +1 more source

Neuronal tuning aligns dynamically with object and texture manifolds across the visual hierarchy. [PDF]

Nat Neurosci
Wang B, Ponce CR.
europepmc   +1 more source

Riemannian geometry for efficient analysis of protein dynamics data. [PDF]

Proc Natl Acad Sci U S A
Diepeveen W, Esteve-Yagüe C, Lellmann J, Öktem O, Schönlieb CB.   +4 more
europepmc   +1 more source

Scalable geometric learning with correlation-based functional brain networks. [PDF]

Sci Rep
You K, Lee Y, Park HJ.
europepmc   +1 more source

Multi-Manifold Learning Fault Diagnosis Method Based on Adaptive Domain Selection and Maximum Manifold Edge. [PDF]

Sensors (Basel)
Zhao L, Ding J, Li P, Chi X.
europepmc   +1 more source