Revealing hidden patterns in deep neural network feature space continuum via manifold learning. [PDF]
Islam MT +8 more
europepmc +1 more source
Application of Non-Sparse Manifold Regularized Multiple Kernel Classifier
Non-sparse multiple kernel learning is efficient but not directly able to be applied in a semi-supervised scenario; therefore, we extend it to semi-supervised learning by using a manifold regularization.
Tao Yang
doaj +1 more source
An Alzheimer's disease category progression sub-grouping analysis using manifold learning on ADNI. [PDF]
van der Haar D +4 more
europepmc +1 more source
Manifold Learning in Wasserstein Space
This paper aims at building the theoretical foundations for manifold learning algorithms in the space of absolutely continuous probability measures $\mathcal{P}_{\mathrm{a.c.}}(Ω)$ with $Ω$ a compact and convex subset of $\mathbb{R}^d$, metrized with the Wasserstein-2 distance $\mathbb{W}$. We begin by introducing a construction of submanifolds $Λ$ in $
Keaton Hamm +3 more
openaire +5 more sources
A Preprocessing Manifold Learning Strategy Based on t-Distributed Stochastic Neighbor Embedding. [PDF]
Shi S, Xu Y, Xu X, Mo X, Ding J.
europepmc +1 more source
Multi-view manifold learning of human brain-state trajectories. [PDF]
Busch EL +7 more
europepmc +1 more source
IAN: Iterated Adaptive Neighborhoods for Manifold Learning and Dimensionality Estimation. [PDF]
Dyballa L, Zucker SW.
europepmc +1 more source
A Novel Framework of Manifold Learning Cascade-Clustering for the Informative Frame Selection. [PDF]
Zhang L, Wu L, Wei L, Wu H, Lin Y.
europepmc +1 more source
Variational Manifold Learning From Incomplete Data: Application to Multislice Dynamic MRI. [PDF]
Zou Q +5 more
europepmc +1 more source
Real-time radial reconstruction with domain transform manifold learning for MRI-guided radiotherapy. [PDF]
Waddington DEJ +10 more
europepmc +1 more source

