【摘 要】
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We discuss a family of algorithms for analyzing various new and classical problems in the analysis of high-dimensional data sets.These methods rely on the idea of performing suitable multiscale geomet
【机 构】
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Duke Univ. Univ.& SAMSI
论文部分内容阅读
We discuss a family of algorithms for analyzing various new and classical problems in the analysis of high-dimensional data sets.These methods rely on the idea of performing suitable multiscale geometric decompositions of the data,and exploiting such a decomposition to perform a variety of tasks in signal processing and statistical learning.
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