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» Deterministic algorithms for sampling count data
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STOC
2003
ACM
164views Algorithms» more  STOC 2003»
14 years 5 months ago
Approximate counting by dynamic programming
We give efficient algorithms to sample uniformly, and count approximately, the solutions to a zero-one knapsack problem. The algorithm is based on using dynamic programming to pro...
Martin E. Dyer
STACS
2007
Springer
13 years 11 months ago
A Deterministic Algorithm for Summarizing Asynchronous Streams over a Sliding Window
We consider the problem of maintaining aggregates over recent elements of a massive data stream. Motivated by applications involving network data, we consider asynchronous data str...
Costas Busch, Srikanta Tirthapura
PODS
2012
ACM
276views Database» more  PODS 2012»
11 years 7 months ago
Randomized algorithms for tracking distributed count, frequencies, and ranks
We show that randomization can lead to significant improvements for a few fundamental problems in distributed tracking. Our basis is the count-tracking problem, where there are k...
Zengfeng Huang, Ke Yi, Qin Zhang
BMVC
2010
13 years 2 months ago
Deterministic Sample Consensus with Multiple Match Hypotheses
RANSAC (Random Sample Consensus) is a popular and effective technique for estimating model parameters in the presence of outliers. Efficient algorithms are necessary for both fram...
Paul McIlroy, Edward Rosten, Simon Taylor, Tom Dru...
CORR
2010
Springer
221views Education» more  CORR 2010»
13 years 4 months ago
Deterministic Sample Sort For GPUs
We present and evaluate GPU Bucket Sort, a parallel deterministic sample sort algorithm for many-core GPUs. Our method is considerably faster than Thrust Merge (Satish et.al., Pro...
Frank Dehne, Hamidreza Zaboli