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Median K-Flats for hybrid linear modeling with many outliers
Computer Vision Workshops, no. 1 (2009): 234-241E
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Abstract
We describe the Median K-flats (MKF) algorithm, a simple online method for hybrid linear modeling, i.e., for approximating data by a mixture of flats. This algorithm simultaneously partitions the data into clusters while finding their corresponding best approximating ¿1 d-flats, so that the cumulative ¿1 error is minimized. The current ...More
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