Gaussiansampling

由 C Gilavert 著作 · 2015 · 被引用 66 次 — Based on the reversible jump Markov chain framework, this paper proposes an efficient Gaussian sampling algorithm having a reduced computation cost and memory ...

由 G Papandreou 著作 · 2010 · 被引用 100 次 — We present a technique for exact simulation of Gaussian Markov random fields (GMRFs), which can be interpreted as locally injecting noise to each Gaussian ...

由 D Micciancio 著作 · 2017 · 被引用 148 次 — Sampling integers with Gaussian distribution is a fundamental problem that arises in almost every application of lattice cryptography, and it can be both time ...

MATLAB toolbox for nonlinear state estimation containing state-of-the-art nonlinear Kalman filters and particle filters.

In probability theory and statistics, a normal distribution or Gaussian distribution is a type of continuous probability distribution for a real-valued ...

由 T Espitau 著作 · 2023 · 被引用 1 次 — We present a general framework for polynomial-time lattice Gaussian sampling. It revolves around a systematic study of the discrete Gaussian ...

2015年11月28日 — One of the most common probability distributions is the normal (or Gaussian) distribution. Many natural phenomena can be modeled using a ...

Use a Gaussian Sampling operator on an image to reduce image noise or produce a less-pixelated image, depending on the needs of your vision application:.

由 M Vono 著作 · 2020 · 被引用 30 次 — Title:High-dimensional Gaussian sampling: a review and a unifying approach based on a stochastic proximal point algorithm · Submission history.