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K_smooth
- The subroutines glkern.f and lokern.f use an efficient and fast algorithm for automatically adaptive nonparametric regression estimation with a kernel method. Roughly speaking, the method performs a local averaging of the observations when es
NonparametricandSemiparametricModels
- eBook Nonparametric and Semiparametric Models
Statistics-ROC-0.04.tar
- A Perl module implementing receiver-operator-characteristic (ROC) curves with nonparametric confidence bounds
classeroverlook
- we shall examine nonparametric procedures that can be used with arbitrary distributions and without the assumption that the forms of theunderlying densities are known.
Curve-Extraction-ACS
- 这个代码是基于蚁群算法的非参数曲线的自动提取算法，对于任意曲线具有很好的提取效果。-Nonparametric Curve Extraction Based on Ant Colony System
segmeeeeeeeeeeeeeee.tar
- A general technique for the recovery of signi cant image features is presented. The technique is based on the mean shift algorithm, a simple nonparametric pro- cedure for estimating density gradients. Drawbacks of the current methods (includi
bg_subt_code
- Nonparametric Background subtraction classes非参数视频背景建模的一个类,该方法是目前背景建模中最好的方法之一-Nonparametric Background subtraction classes video background of non-parametric modeling of a class that the method is modeling in the present context, one of the best way
Eubank(1999)NonparametricRegressionandSplineSmoot
- Author:Eubank year:(1999)Name:Nonparametric Regression and Spline Smoothing second edition
background_substraction
- 视频背景非参数估计论文及matlab实现.matlab代码只实现了灰度图的背景估计，论文利介绍的彩色视频处理方法可以自己看看怎么做。-Background and Foreground Modeling Using Nonparametric Kernel Density Estimation for Visual Surveillance AHMED ELGAMMAL, RAMANI DURAISWAMI, MEMBER, IEEE, DAVID HARWOOD, AND LA
nl1
- 一种图像去噪的新方法，非参数估计，值得一看。-A new method for image denoising, nonparametric estimation, worth a visit.
mathematicalstatistics
- "This graduate textbook covers topics in statistical theory essential for graduate students preparing for work on a Ph.D. degree in statistics. The first chapter provides concepts and results in measure-theoretic probability theory that are useful in
bartlett
- Bartlett power spectrum estimation (Nonparametric methods for power spectrum estimation)
kde
- Kernel Density Estimation (Set of tools for nonparametric (kernel) density estimation)
problem2
- It helps to test in nonparametric situation by run test and to check measure of association
Histogram-model-based-on-nonparametric-robust-spea
- 基于非参数直方图模型的鲁棒说话人识别算法-Histogram model based on nonparametric robust speaker recognition
Nonparametric-econometrics
- 简洁明了的介绍了非参计量经济学和半参计量经济学的原理和方法，是很好的非参计量经济学入门教程-Concise descr iption of the non-parametric and semi-parametric econometric theory and econometric methods, is a good introductory tutorial nonparametric econometrics
A-nonparametric-variable-step-size-NLMS-algorithm
- A nonparametric adaptive filtering approach is proposed in this paper. The algorithm is obtained by exploiting a time-varying step size in the traditional NLMS weight update equation. The step size is adjusted according to the square of a time-av
nonparametric-background-generation
- 背景建模-非参数背景生成，应用于运动目标检测-Background modeling- nonparametric background generation, used in moving object detection
mdpmrf
- Nonparametric Bayesian Image Segmentation