1) importance resampling
重要性重采样
2) importance sampling
重要性采样
1.
Face tracking algorithm based on particle filter with mean shift importance sampling;
基于均值移动重要性采样的粒子滤波人脸跟踪算法(英文)
2.
A 3D model remeshing algorithm based on circular parameter domain and importance sampling is proposed in this paper.
给出了一个基于参数化和重要性采样的网格重建算法。
3.
To solve the important problem in particle filter that how to design the importance sampling function to propagate the particles, a novel particle filter based on observation likelihood importance sampling was proposed.
针对粒子滤波中如何来设计重要性采样函数进行动态粒子传播这个重要问题,提出了一种新的基于观测似然重要性采样的粒子滤波算法,该算法打破了常规粒子滤波先按某一重要性采样函数进行采样,再用观测似然进行粒子权重更新的思路,而是直接根据观测似然进行采样,然后再用先验转移概率进行粒子权重更新。
3) Sequence Importance Resampling
采样重要性重采样(SIR)
4) sampling importance resampling(SIR)
采样-重要性重采样
5) sampling importance resampling
采样重要性重抽样
6) sequential importance sampling
序贯重要性采样
1.
Particle filtering is based on the concept of sequential importance sampling and the Bayesian theory,it is particularly useful in dealing with nonlinear and non-Gaussian problems.
序贯重要性采样(SIS)算法是粒子滤波的核心算法。
补充资料：重要
1.指重镇﹑要地。 2.谓重大而主要。
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条