Sentence examples for diffusion map from inspiring English sources

We compare random projection, principal component analysis and diffusion map for anomaly detection.

The first two methods have intuitive extensions while diffusion map uses the Nyström extension.

We also propose to exploit the AOS scheme to compute the diffusion map efficiently.

Diffusion Map (DM), Local Linear Embedding LLEE) and AutoEncoder (AE) algorithms were used for future extraction.

Functional diffusion map (fDM) has been recently reported as an early and quantitative biomarker of clinical brain tumor treatment outcome.

Some common methods of band selection are PCA, Isometric Feature Mapping [16], Diffusion map, Locally linear embedding [17], Local Tangent Space Alignment [18], and so on.

For diffusion maps we develop a new inverse map approximation.

Tao and Matuszewski [17] also employed manifold learning-based diffusion maps to handle highly deformable objects.

A sequence of 1000 samples of the process is generated, and the diffusion mapping is applied to the data.

The diffusion maps framework is a kernel-based method for manifold learning and data analysis that models a Markovian process over data.

In this paper, we use kernel PCA and diffusion maps to construct GP emulators for very high-dimensional output spaces arising from PDE model simulations.