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  2. Diffusion map - Wikipedia

    en.wikipedia.org/wiki/Diffusion_map

    Diffusion maps exploit the relationship between heat diffusion and random walk Markov chain.The basic observation is that if we take a random walk on the data, walking to a nearby data-point is more likely than walking to another that is far away.

  3. Logistic map - Wikipedia

    en.wikipedia.org/wiki/Logistic_map

    When an orbital diagram is drawn for the logistic map, it is possible to see how the branch representing the stable periodic orbit splits, which represents a cascade of period-doubling bifurcations. Bifurcation diagram of the period-doubling bifurcation cascade occurring between parameters r 1 = 3 {\displaystyle r_{1}=3} and a ∞ = 3.56994 ...

  4. Stable Diffusion - Wikipedia

    en.wikipedia.org/wiki/Stable_Diffusion

    Stable Diffusion is a deep learning, text-to-image model released in 2022 based on diffusion techniques. The generative artificial intelligence technology is the premier product of Stability AI and is considered to be a part of the ongoing artificial intelligence boom .

  5. Feigenbaum function - Wikipedia

    en.wikipedia.org/wiki/Feigenbaum_function

    This functional equation arises in the study of one-dimensional maps that, as a function of a parameter, go through a period-doubling cascade. Discovered by Mitchell Feigenbaum and Predrag Cvitanović, [3] the equation is the mathematical expression of the universality of period doubling. It specifies a function g and a parameter α by the relation

  6. Diffusion-weighted magnetic resonance imaging - Wikipedia

    en.wikipedia.org/wiki/Diffusion-weighted...

    A variant of diffusion weighted imaging, diffusion spectrum imaging (DSI), [4] was used in deriving the Connectome data sets; DSI is a variant of diffusion-weighted imaging that is sensitive to intra-voxel heterogeneities in diffusion directions caused by crossing fiber tracts and thus allows more accurate mapping of axonal trajectories than ...

  7. Flow-based generative model - Wikipedia

    en.wikipedia.org/wiki/Flow-based_generative_model

    A flow-based generative model is a generative model used in machine learning that explicitly models a probability distribution by leveraging normalizing flow, [1] [2] [3] which is a statistical method using the change-of-variable law of probabilities to transform a simple distribution into a complex one.

  8. A Wave Of Violence Sweeps Iraq - The Huffington Post

    data.huffingtonpost.com/2013/12/a-wave-of...

    In 2009, Iraqi Prime Minister Nouri al-Maliki stood before lawmakers and experts at the U.S. Institute of Peace in Washington, D.C., and proclaimed, “Today, Iraq has become a peaceful, democratic country that relies on its democratic institutions.”

  9. Period-doubling bifurcation - Wikipedia

    en.wikipedia.org/wiki/Period-doubling_bifurcation

    A period-doubling cascade is an infinite sequence of period-doubling bifurcations. Such cascades are a common route by which dynamical systems develop chaos. [ 1 ] In hydrodynamics , they are one of the possible routes to turbulence .