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身份管理问题中的傅立叶信息二重性

Fourier-Information Duality in the Identity Management Problem
课程网址: http://videolectures.net/ecmlpkdd2011_jiang_fourier/  
主讲教师: Xiaoye Jiang
开课单位: 斯坦福大学
开课时间: 2011-10-03
课程语种: 英语
中文简介:
我们比较了最近提出的两种表示多目标跟踪下置换空间概率分布的方法。我们证明了这两种表示形式,傅立叶近似和信息形式近似都可以看作是真实分布的低维投影,但是对于不同的度量,我们确定了每种近似的优缺点,并提出了在两种形式之间转换的算法,允许这是一种混合方法,它利用了两种表示的优点。实验证明,混合算法在某些情况下是有利的。
课程简介: We compare two recently proposed approaches for representing probability distributions over the space of permutations in the context of multi-target tracking. We show that these two representations, the Fourier approximation and the information form approximation can both be viewed as low dimensional projections of a true distribution, but with respect to different metrics.We identify the strengths and weaknesses of each approximation, and propose an algorithm for converting between the two forms, allowing for a hybrid approach that draws on the strengths of both representations. We show experimental evidence that there are situations where hybrid algorithms are favorable.
关 键 词: 计算机科学; 机器学习; 傅里叶
课程来源: 视频讲座网
最后编审: 2019-11-30:lxf
阅读次数: 51