Proceedings of the Twenty-First Annual ACM-SIAM Symposium on Discrete Algorithms 2010
DOI: 10.1137/1.9781611973075.92
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1-Pass Relative-Error Lp-Sampling with Applications

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Cited by 80 publications
(137 citation statements)
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“…In the past decade, several sampling techniques have been proposed and studied for the data stream model [3,11,5,10,22,1]. In this work, we study Lp-samplers, a new variant of space efficient samplers for data streams that was introduced by Monemizadeh and Woodruff in [22].…”
Section: Introductionmentioning
confidence: 99%
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“…In the past decade, several sampling techniques have been proposed and studied for the data stream model [3,11,5,10,22,1]. In this work, we study Lp-samplers, a new variant of space efficient samplers for data streams that was introduced by Monemizadeh and Woodruff in [22].…”
Section: Introductionmentioning
confidence: 99%
“…In the past decade, several sampling techniques have been proposed and studied for the data stream model [3,11,5,10,22,1]. In this work, we study Lp-samplers, a new variant of space efficient samplers for data streams that was introduced by Monemizadeh and Woodruff in [22]. Roughly speaking, given a stream of updates (additions and subtraction) to the coordinates of an underlying vector x ∈ R n , an Lp-sampler processes the stream and outputs a sample coordinate of x where the i-th coordinate is picked with probability proportional to |xi| p .…”
Section: Introductionmentioning
confidence: 99%
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