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...

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

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

representation learning are based on diffusion maps and their extensions to handle multiple modalities. Multi-view diffusion maps address the challenge of achieving...

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

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...

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

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

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

original Macintosh computer. The algorithm achieves dithering using error diffusion, meaning it pushes (adds) the residual quantization error of a pixel onto...

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

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...

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

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)...

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...

of the 2020s, text-to-image models such as Midjourney, DALL-E, Stable Diffusion, and FLUX.1 became widely available to the public, allowing users to quickly...

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...

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

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...

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

models—such as OpenAI's DALL-E 2, Google Brain's Imagen, Stability AI's Stable Diffusion, and Midjourney—began to be considered to approach the quality of real...

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

influence, contrary to former suggestions. The studies further suggest a diffusion of this diverse population away from the Fertile Crescent, with the early...

also may be used to form images of non-living objects, such as mummies. Diffusion MRI and functional MRI extend the utility of MRI to capture neuronal tracts...

Kernel Local Tangent Space Alignment, Multidimensional Scaling, Isomap, Diffusion Maps, Laplacian Eigenmaps Online learning algorithms such as SGD-QN, Vowpal...

a linear graph. Wishbone combines principal component analysis and diffusion maps to achieve dimensionality reduction then also creates a KNN graph. Waterfall...

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

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...

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...