Description: 详细介绍MCL算法，是由Sebastian Thrun a, Dieter Fox, Wolfram Burgard, Frank Dellaert所著的论文，发表于Artificial Intelligence上。-Mobile robot localization is the problem of determining a robot’s pose from sensor data. This
article presents a family of probabilistic localization algorithms known as Monte Carlo Localization
[MCL]. MCL algorithms represent a robot’s belief by a set of weighted hypotheses [samples],
which approximate the posterior under a common Bayesian formulation of the localization problem.
Building on the basic MCL algorithm, this article develops a more robust algorithm called Mixture-
MCL, which integrates two complimentary ways of generating samples in the estimation. To apply
this algorithm to mobile robots equipped with range finders, a kernel density tree is learned that
permits fast sampling. Systematic empirical results illustrate the robustness and computational
efficiency of the approach. 2001 Published by Elsevier Science B.V.
Keywords: Mobile robots Localization Position estimation Particle filters Kernel density trees Platform: |
Size: 1425408 |
Author:xuyuhua |
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Description: 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
LARRY S. DAVIS, FELLOW, IEEE
Invited Paper
Platform: |
Size: 258048 |
Author:flora |
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Description: 视频跟踪检测 背景核密度估计建模，欢迎指正，-Detection of the background video track modeling kernel density estimation, please correct me, thank you Platform: |
Size: 1024 |
Author:陈偲 |
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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: |
Size: 2274304 |
Author:herman |
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Description: 一种核密度估计，或者称作带宽选择的方法，可以估计二维尺度参数，至于多维以上的估计方法尚在开发，多维情况下个人经验好的方法是多次实验取较好值-kernel density estimation, bandwidth selection, two-dimensional scale parameter can be estimated ,for the multi-dimensional approaches are still under development, multi-dimensional cases, personal experience is to do the experiment many times Platform: |
Size: 623616 |
Author:苗晨 |
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Description: 把那个软件包解压缩，添加到matlab路径下，运行@kde\mex\makemex.m，然后就可以调用kde函数创建核密度估计类对象，调用类对象的各种“方法”实现核密度估计、画图等-Next, running @ kde \ mex \ makemex. then can be called kde function creates kernel density estimation class object, the call of the object of "method" realize the kernel density estimation, painting, etc
Platform: |
Size: 1944576 |
Author:景 |
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Description: 机器学习matlab源代码，包括多分类SVM，模式识别，特征选择，回归等算法。-The spider is intended to be a complete object orientated environment for machine learning in Matlab. Aside from easy use of base learning algorithms, algorithms can be plugged together and can be compared with, e.g model selection, statistical tests and visual plots.
Core library objects
wilcoxon
Wilcoxon object- significance test of results
joint_kernel
Joint kernel object- for calculating inner products in joint feature spaces
joint_data
Joint_data object
corrt_test
corrected resampled t-test object- significance test of results
Unsupervised objects
spectral
Spectral clustering
ppca
Probabilistic Principal Components Analysis
nmf
Non-negative Matrix Factorization object
mrank
Manifold Ranking
Density Estimation objects
indep
Feature selection by independent density estimation
Feature Selection objects
r2w2_sel
Feature scaling/selection via SVMs and r^2/w^2 bound.
nfe
Non-Linear Feature Elimination
mutin Platform: |
Size: 212992 |
Author:刘阳 |
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Description: 波动率曲面matlab实现，可应用于期权市场上的任意期权。(The function VolSurface.m will then:
- compute and output the Black-Scholes implied volatility (this will be a matrix).
- get and plot the corresponding volatility surface using a kernel (Gaussian) density estimation.) Platform: |
Size: 1024 |
Author:Crimes777 |
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Search - kernel density estimation matlab