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Best bin first

Known as: BBF, Best-bin-first search 
Best bin first is a search algorithm that is designed to efficiently find an approximate solution to the nearest neighbor search problem in very-high… Expand
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Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2019
2019
Kernel matrices are popular in machine learning and scientific computing, but they are limited by their quadratic complexity in… Expand
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2008
2008
[1] This paper, by using the data of Cluster, TC-1, GOES, and eight ground stations on 22 October 2004, studied the… Expand
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Highly Cited
2007
Highly Cited
2007
The ANTARES neutrino telescope is being constructed in the Mediterranean Sea. It consists of a large three-dimensional array of… Expand
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Highly Cited
2006
Highly Cited
2006
Abstract The concentrations of 16 US-EPA criteria polycyclic aromatic hydrocarbons (PAHs) were monitored during various seasons… Expand
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Highly Cited
2005
Highly Cited
2005
  • Sukumar Mishra
  • IEEE Transactions on Evolutionary Computation
  • 2005
  • Corpus ID: 10318807
Harmonic estimation for a signal distorted with additive noise has been an area of interest for researchers in many disciplines… Expand
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Highly Cited
2005
Highly Cited
2005
The Polycyclic aromatic hydrocarbons PAHs (naphthalene, acenaphthylene, acenaphthene, phenanthrene, fluoranthene, pyrene, benzo(a… Expand
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Highly Cited
2003
Highly Cited
2003
[1] Examination of Geotail measurements in the near-tail (X > � 30 RE) has revealed the presence of small flux ropes in the… Expand
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2003
2003
This paper applies a Bayesian classification scheme to the problem of object recognition through probabilistic modeling of local… Expand
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Highly Cited
1996
Highly Cited
1996
In an attempt to place short-lived, high-speed magnetotail flows termed bursty bulk flow events (BBFs) in the context of substorm… Expand
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Highly Cited
1992
Highly Cited
1992
High-speed flows in the inner central plasma sheet (first reported by Baumjohann et al. (1990)) are studied, together with the… Expand
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