说明: Aleksandr V. Segal的论文Generalized-ICP。In this paper we combine the Iterative Closest Point (’ICP’) and ‘point-to-plane ICP‘ algorithms into a single probabilistic framework. <zhangfenger> 上传 | 大小:2mb
说明: The goal of this tutorial is helping to address the aforementioned challenges by providing an introduction to robust estimation with a particular focus on robotics. First, this is achieved by giving a concise overview of the theory on M-estimation. <giscl> 上传 | 大小:2mb
说明: This tutorial is concerned with applications of information theory concepts in statistics, in the finite alphabet setting. The information measure known as information divergence or Kullback-Leibler distance or relative entropy plays a key role, oft <giscl> 上传 | 大小:791kb