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They conclude that the SFC-based H-zkNNJ [7] algorithm, outperforms in terms of completion time other similar methods like RankReduce [24], which uses Locality Sensitive Hashing (LSH) [25].
We have developed an efficient and scalable, species richness estimation algorithm that uses locality sensitive hashing (LSH).
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The startup now covers 10,000 U.S. cities, and over 1.5 million people use Locality one or more times each month.
The search is done using locality sensitive hashing as described in[21].
These techniques make it possible to precisely and repeatably calculate the geographic range of individual species using locality information.
Most biometric templates are represented as fixed length real vectors and they can be binarized easily using locality sensitive hashing (LSH) techniques and the most natural and widely used distance in the hash space is the Hamming distance.
We further show how we are able to forecast the popularity of the new venue after one month following its opening by using locality and temporal similarity as features.
Since there exists (Zin mathcal {X}), such that φ s (Z)=0 (see property (10)), using locality of φ, we get that for any (Xin mathcal {X}_{varphi _{s}}, Ain mathcal {F}_{t}), there exists (Yin mathcal {X}), so that.
We used locality records from 93 bat species from the Global Biodiversity Information Facility to characterize the differential contribution of bias variables to spatial bias and how contribution varied across ecological trait groups.
Next, for any (Ain mathcal {F}_{t}), such that A⊆{X=∞}, we get (mathcal {Y}^_{A}(X)=emptyset ), which implies Open image in new window Finally, for any (nin mathbb {R}), using locality of (varphi ^_{t}) and the fact that (nin mathcal {X}cap bar {L}^{0}_{t}), we get.
We performed ENMs using locality data of A. femoralis from eastern Australia and of A. femoralis from Western Australia, restricting background data to areas likely to be colonizable for the species as recommended by Phillips et al. [87] Therefore, we manually delimited areas encompassing the known localities, separating them from completely arid areas away from the coast (Fig. S1).
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