Diffusion maps is a dimensionality reduction or feature extraction algorithm introduced by Coifman and Lafon which computes a family of embeddings of a...

special kind of DWI, diffusion tensor imaging (DTI), has been used extensively to map white matter tractography in the brain. In diffusion weighted imaging...

In machine learning, diffusion models, also known as diffusion probabilistic models or score-based generative models, are a class of latent variable generative...

sets. Diffusion maps leverages the relationship between heat diffusion and a random walk (Markov Chain); an analogy is drawn between the diffusion operator...

Reaction–diffusion systems are mathematical models that correspond to several physical phenomena. The most common is the change in space and time of the...

then be processed and reapplied to the model as a light map. To simulate diffusion, the light map texture can simply be blurred. Rendering the lighting...

discrete Laplace operators on point clouds for manifold learning (e.g. diffusion map). Kernel density estimates are closely related to histograms, but can...

conjugate to the horseshoe map. In physics, a chain of coupled baker's maps can be used to model deterministic diffusion. As with many deterministic...

using data collected by diffusion MRI. It uses special techniques of magnetic resonance imaging (MRI) and computer-based diffusion MRI. The results are presented...

Michael T.; Newman, M.E.J. (May 18, 2004). "Diffusion-based Method for Producing Density-Equalizing Maps". Proceedings of the National Academy of Sciences...

A self-organizing map (SOM) or self-organizing feature map (SOFM) is an unsupervised machine learning technique used to produce a low-dimensional (typically...

believed in a direct diffusion to Syria, Crete, East Africa, Southern Arabia and Sumer, and other areas were influenced by secondary diffusion. The Neolithic...

The Society for the Diffusion of Useful Knowledge (SDUK) was founded in London in 1826, mainly at the instigation of Whig MP Henry Brougham, with the...

deformation mechanism map will be larger than in maps with very small grains. Additionally, the larger the grains, the less diffusional creep and thus the...

transformation (also known as the dyadic map, bit shift map, 2x mod 1 map, Bernoulli map, doubling map or sawtooth map) is the mapping (i.e., recurrence relation)...

Isomap, which uses geodesic distances in the data space; diffusion maps, which use diffusion distances in the data space; t-distributed stochastic neighbor...

aggregating CN2 algorithm Constructing skill trees Dehaene–Changeux model Diffusion map Dominance-based rough set approach Dynamic time warping Error-driven...

Rotational diffusion is the rotational movement which acts upon any object such as particles, molecules, atoms when present in a fluid, by random changes...

The Bass model or Bass diffusion model was developed by Frank Bass. It consists of a simple differential equation that describes the process of how new...

In applied mathematics, Arnold diffusion is the phenomenon of instability of nearly-integrable Hamiltonian systems. The phenomenon is named after Vladimir...

cells by type. Another example is the diffusion pseudotime (DPT) algorithm, which uses a diffusion map and diffusion process. Another class of methods such...

principle used to create a shadow map. The light's view is rendered, storing the depth of every surface it sees (the shadow map). Next, the regular scene is...

applications, such as identifying factors involved in dangerous driving. Diffusion of innovations Discriminant analysis Marketing research Multidimensional...

spatial diffusion (1968). The diffusion of disease can be described in four patterns: expansion diffusion, contagious diffusion, hierarchal diffusion and...

LIONS". lions.epfl.ch. Retrieved 2019-03-26. Bah, Bubacarr (2008). Diffusion Maps: Analysis and Applications. ora.ox.ac.uk (MSc thesis). University of...

In modern cosmological theory, diffusion damping, also called photon diffusion damping, is a physical process which reduced density inequalities (anisotropies)...

algorithm. This can be for example a 2D simplex noise function or by diffusion-limited aggregation. Another method is to reconstruct heightmaps from...

Graphics at SIGGRAPH conference. At Hebrew University, he wrote a paper on Diffusion maps for edge-aware image editing. His research on tone mapping of HDR images...

associated vector spaces over the field k. A map f: X → Z is an affine map if there exists a linear map mf : V → W such that mf (x − y) = f (x) − f (y)...

gaseous diffusion plant and the K-25 power plant. The latter provided energy to both the K-25 gaseous diffusion plant and the S-50 thermal diffusion plant...