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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
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
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
Kernel-density-estimation
- Kernel density estimation