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DESIGN_AND_IMPLEMENT_A_SYSTEM_oF_GRASP_IDENTIFICAT
- 机器人灵巧手的抓持分类是抓持规划的一个主要问题．本文应用模式识别技术设计和实现了一种基于高斯混合模型GMM 的分类器．采用Expectation Maximization(EM)算法估计GMM 的参数，对人手的抓持动作进行识别与分类，经过人手到机器人手的关节空间运动映射。
泊松分布是一种常用的离散型概率分布
- 泊松分布是一种常用的离散型概率分布，数学期望为m的泊松分布的分布函数定义如下： P(m, k) = mk * e-m/k! (k = 0, 1, 2, 3, …) 对于给定的m和k (0<m<2000, 0<= k < 2500)，计算其概率，以科学格式输出，保留小数点后6位有效数字。 ,Poisson distribution is a commonly used discrete probability distributions, mathema
socialEM
- the expectation maximization algorithm written using java.
Manisha
- It is a java implementation of Expectation Maximization algorithm that can be used for clustering objects in data mining
AnnotatedOutcome
- Contains an outcome for a test, along with some metadata pertaining to the history of this test, including a list of previous outcomes, an outcome corresponding to the tag Vogar is being run with, if applicable, and the expectation for this test, so
Expectation
- The expected result of an action execution. This is typically encoded in the expectations text file, which has the following format:.
EMSCluster
- Expectation-Maximization Algorithm for Clustering numerical data