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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.
expKDE
- Exponential Kernel Density
A-kernel-density-estimate-data
- 一篇核密度估计资料，一种新的核函数选择方法-A kernel density estimate data，A new kernel selection method
Kernel_particle_filter_for_visual_tracking
- 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
05169951
- Error Analysis and Kernel Density Approach of Scheduling Sleeping Nodes in Cluster-Based Wireless Sensor Networks
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
Microsoft-Office-Word
- 非参数核密度估计，是一种不同于参数估计的概率估计方法-nonparametric kernel density model
Kernel-density-estimation
- Kernel density estimation