Description: kde全称是kernel density estimation.基于核函数的概率密度估计方法。是模式识别中常用的算法之一-KDE which is kernel density estimation is used to estimate probabilty function. It is mostly used in pattern recogntion Platform: |
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Author:herman |
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Description: 利用正态分布和核密度估计计算分位数。包括正态分布分位数函数、核估计概率密度函数、核估计累计分布概率函数、核估计计算分位数函数。-Normal and kernel density estimation using sub-digit calculation. Including the normal quantile function, kernel estimate probability density function, cumulative distribution probability function kernel estimation, kernel estimate calculated quantile function. Platform: |
Size: 6601728 |
Author:细细 |
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Description: the Kernel Particle Filter
(KPF)—is proposed for visual tracking in image sequences.
The KPF invokes kernels to form a continuous estimate of the
posterior density function. Particles are allocated based on the
gradient information estimated from the kernel density estimate
of the posterior. Results from simulations and experiments with
real video data show the improved performance of the proposed
algorithm when compared with that of the standard particle filter.
The superior performance is evident in scenarios of small system
noise or weak dynamic models where the standard particle filter
usually fails Platform: |
Size: 343040 |
Author:hythem |
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Description: 用变形核密度模型对数据的统计分布进行估计，常用于金融信用分析、财产保险精算等领域，是一个很有效、常用的非参数模型-Deformation of the nuclear density model of the statistical distribution of the data to estimate the financial credit analysis, property insurance and actuarial fields, is a very effective and commonly used non-parametric model Platform: |
Size: 1024 |
Author:严一洲 |
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Description: 针对核密度估计背景建模方法运算量大难以实时应用的问题，提出了一种基于背景直方图分布的快速核密度估计背景建模方法。选用三角核函数进行核密度估计，根据三角核带宽函数的截断效应，引入背景分布的直方图完成快速背景建模，在保证目标检测准确性的同时提高运算速度。测试实验结果验证了算法能够满足监控系统的实时性要求。-For kernel density estimation is difficult to satisfy real-time applications because of large amount of calculation, this paper
proposes a fast kernel density estimation method of background modeling based on the background histogram. Triangle kernel function
is used to estimate the kernel density. According to the triangular truncation effect of kernel-bandwidth function, background samples
histogram is built to complete the fast background modeling. The accuracy of target detection is ensured while processing speed is increased.
Experimental results prove that the algorithm satisfies the real-time requirements of surveillance systems Platform: |
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Author: |
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Description: 这是一个有关parzen窗估计的代码，用来估计概率密度函数。采用了方窗、指数窗、高斯窗函数三种核函数，附有matlab程序。-This is an estimate of the code related to parzen window, used to estimate the probability density function. With a side window, the index window, Gaussian window function three kinds of kernel function, with matlab program. Platform: |
Size: 56320 |
Author:章 |
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Description: 用非参数估计的方法（核密度估计）来估计互信息-Nonparametric estimation method (kernel density estimation) to estimate the mutual information Platform: |
Size: 2048 |
Author:秦坤 |
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Description: 核函数估计(一元，高斯核函数)，包括带宽优化-kernel density estimation (KDE) is a non-parametric way to estimate the probability density function of a random variable. Platform: |
Size: 1024 |
Author:luke jons |
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Description: 计算核密度估计算法实现，可延伸扩展加入自己的想法，便于编程和调用。(you can use it to calculate kernel density estimate and compute about problem.) Platform: |
Size: 1943552 |
Author:缺
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