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Pearson hashing

Known as: Pearson's hash 
Pearson hashing is a hash function designed for fast execution on processors with 8-bit registers. Given an input consisting of any number of bytes… Expand
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Papers overview

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Highly Cited
2015
Highly Cited
2015
We consider the detection and estimation of a zero-mean Gaussian signal in a wireless sensor network with a coherent multiple… Expand
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2011
2011
Minimal missed detection rate of primary users is critical for adoption of cognitive radio networks, underlining the need for… Expand
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2011
2011
In order to avoid packet collisions in wireless communications, cognitive radio users require spectrum sensing to increase their… Expand
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2011
2011
We describe and evaluate two algorithms for Neyman-Pearson (NP) classification problem which has been recently shown to be of a… Expand
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2009
2009
We propose a novel censoring scheme for the distributed detection problem in a wireless sensor network (WSNs) with N sensors… Expand
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2009
2009
Based on Stein's lemma, we use relative entropy as a measure of error exponent to study detection performance of Neyman Pearson… Expand
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Highly Cited
2007
Highly Cited
2007
  • C. Scott
  • IEEE Transactions on Information Theory
  • 2007
  • Corpus ID: 13565206
In the Neyman-Pearson (NP) classification paradigm, the goal is to learn a classifier from labeled training data such that the… Expand
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1990
1990
Abstract Animals that provision a central place usually bring back larger loads when foraging far from home. This positive… Expand
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Highly Cited
1989
Highly Cited
1989
Abstract Stream-dwelling, juvenile Atlantic salmon, Salmo salar L., feed mainly on drifting invertebrates, usually by swimming… Expand
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1982
1982
  • R. Hegner
  • Animal Behaviour
  • 1982
  • Corpus ID: 53158734
Abstract Orians & Pearson (1979) proposed a series of models of optimal central place foraging. I tested their model for single… Expand
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