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mcl
- 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 lo
kernel_density_estimation
- 核密度估计方法相关的几篇论文，主要是核密度估计方法在图像处理方面的应用。-Several papers related to Kernel density estimation method , mainly in image processing applications.
Inverse-halftoning-and-kernel
- 文章介绍了两种方法来解释误差，Inverse Halftoning and Kernel Estimation for Error Diffusion。比较了这两种方法的优劣-Article describes two ways to explain the error, Inverse Halftoning and Kernel Estimation for Error Diffusion. Compared the advantages and disadvantages of bot
Efficient-kernel-density-estimation-
- 一篇引用率非常高的英文文献，基于快速高斯的KDE目标跟踪-Efficient kernel density estimation using the fast gauss transform with applications to color modeling and tracking
Image-Denoising-by-Adaptive-Kernel-Regression
- This paper introduces an extremely robust adaptive denoising filter in the spatial domain. The filter is based on non-parametric statistical estimation methods, and in particular generalizes an adaptive method proposed earlier by Fukunaga [1]
Final-report-V2
- 这篇论文基于Kernel和Gaussian Mixture Model提出了一种新的误码率估计方法，使用Stochastic Expectation-Maximization算法实现误码率实时盲估计-This report presents a new Bit Error Rate estimation method based on Kernel and Gaussian Mixture Model, the method utilizes Stochastic Expectation-Max
osnabrueck2014
- The developed extensions cover adaptions to the throughput and delay estimation for this type of link as well peculiarities of hardware and implementations within the Linux Kernel. Instead of using simula-tions, the approach was extensively verified
MITgcm--start-example
- 麻省理工大学的环流模式MIT general circulation model(MITgcm)-The MITgcm (MIT General Circulation Model) is a numerical model designed for study of the atmosphere, ocean, and climate. Its non-hydrostatic formulation enables it to simulate fluid phenomena over a w
Kernel-density-estimation
- Kernel density estimation