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齐性空间的身份管理

Identity Management On Homogeneous spaces
课程网址: http://videolectures.net/aml08_jiang_imhs/  
主讲教师: Xiaoye Jiang; Leonidas J. Guibas
开课单位: 斯坦福大学
开课时间: 2008-12-12
课程语种: 英语
中文简介:
我们考虑身份管理问题, 将身份分为红色和蓝色两类。这里的目的是在标识之间出现混乱时预测这两个类标识。在这项工作中, 我们提出了一个原则, 以保持概率分布在齐次空间, 它提供了一个机制, 以考虑到任何所需的近似程度。利用马尔可夫模型来制定两个类的身份管理问题, 试图对齐次空间的分布进行紧凑的总结。通过使用氡变换, 可以投影和提升有关不同统计顺序的信息。氡变换的马尔可夫更新的交换特性使我们能够在不同的统计顺序上保持准确的信息。因此, 可以根据我们维护的低阶统计数据进行准确的分类预测。我们评估我们的算法在真实的相机网络数据上的性能, 并显示我们的方案的有效性。
课程简介: We consider the identity management problem, where the identities are classified into two classes, red and blue. The purpose here is to make predictions of the two class identities when confusions arise among identities. In this work, we propose a principle to maintain probability distributions over homogeneous space which provides a mechanism valid for taking into account of any desired degree of approximation. Markov models are used to formulate the two class identity management problem which tries to compactly summarize distributions on homogeneous spaces. Projecting down and lifting up information on different order of statistics can be achieved by using Radon transformations. The commutative property of Markov updating with Radon transform enable us to maintain exact information over different order of statistics. Thus, accurate classification predictions can be made based on the low order statistics we maintained. We evaluate the performance of our algorithms on a real camera network data and show effectiveness of our scheme.
关 键 词: 马尔可夫过程的齐性空间; 身份管理; 混合模型
课程来源: 视频讲座网
最后编审: 2020-06-13:邬启凡(课程编辑志愿者)
阅读次数: 54