Polynomial Time and Sample Complexity for Non-Gaussian Component Analysis: Spectral Methods

4 Apr 2017 Yan Shuo Tan Roman Vershynin

The problem of Non-Gaussian Component Analysis (NGCA) is about finding a maximal low-dimensional subspace $E$ in $\mathbb{R}^n$ so that data points projected onto $E$ follow a non-gaussian distribution. Although this is an appropriate model for some real world data analysis problems, there has been little progress on this problem over the last decade... (read more)

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