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michael kim


Virginia Tech

Attivo dal 2012

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I use math and data to solve problems.
My academic background is mostly in statistics, economics, EE/CS and OR. I am currently a PhD student.
Professional Interests: signal processing, statistics

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Robust Multidimensional scaling (MDS) using ECDFs
Take m points in R^n and transform those points to R^p such that the ECDF of distances are preserved

quasi 13 anni fa | 325 download |

5.0 / 5

Inviato


Linear time Outlier Scoring via Random Walks
I use a markov chain rejection sampling method to score outliers in linear time.

quasi 13 anni fa | 378 download |

0.0 / 5
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Robust Association Testing via Resampling
This is an attempt to test if two ECDF are independent

quasi 13 anni fa | 212 download |

0.0 / 5
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Anomaly Detection
Given m points in R^n (as a matrix), find the outliers via dimensionality reduction and resampling.

oltre 13 anni fa | 2417 download |

4.4 / 5
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