In computer science and data mining, MinHash (or the min-wise independent permutations locality sensitive hashing scheme) is a technique for quickly estimating...
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Minhash and LSH for Google News personalization. MinHash w-shingling Count–min sketch Locality-sensitive hashing Cyphers, Bennett (2021-03-03). "Google's FLoC...
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List of data structures (redirect from Hash-based data structures)
trie Hash list Hash table Hash tree Hash trie Koorde Prefix hash tree Rolling hash MinHash Ctrie Many graph-based data structures are used in computer...
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exclusive ors and circular shifts. MinHash – Data mining technique w-shingling Daniel Lemire, Owen Kaser: Recursive n-gram hashing is pairwise independent, at...
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Bag-of-words model (section Hashing trick)
improves scalability. Additive smoothing Feature extraction Machine learning MinHash Vector space model w-shingling McTear et al 2016, p. 167. Sivic, Josef...
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Toopher, a mobile authentication company, Tempo, an AI calendar app, and MinHash, an AI platform. The company also acquired SteelBrick, a software company...
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sketch not a linear sketch, it is still mergeable. Feature hashing Locality-sensitive hashing MinHash The following discussion assumes that only "positive"...
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engine that implements edit distance) Manhattan distance Metric space MinHash Optimal matching algorithm Numerical taxonomy Sørensen similarity index...
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In computer science, locality-sensitive hashing (LSH) is a fuzzy hashing technique that hashes similar input items into the same "buckets" with high probability...
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document Locality-sensitive hashing – Algorithmic technique using hashing MinHash – Data mining technique Moody, John (1989). "Fast learning in multi-resolution...
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methods that require a high-quality hash function, including hopscotch hashing, cuckoo hashing, and the MinHash technique for estimating the size of...
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The Secure Hash Algorithms are a family of cryptographic hash functions published by the National Institute of Standards and Technology (NIST) as a U.S...
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Bloom filter (category Hash-based data structures)
portal Count–min sketch – Probabilistic data structure in computer science Feature hashing – Vectorizing features using a hash function MinHash – Data mining...
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variables. The MinHash algorithm can be implemented using a log 1 ϵ {\displaystyle \log {\tfrac {1}{\epsilon }}} -independent hash function as was...
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semantic analysis Local tangent space alignment Locality-sensitive hashing MinHash Multifactor dimensionality reduction Nearest neighbor search Nonlinear...
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for combinations of sets Logical conjunction – Logical connective AND MinHash – Data mining technique Naive set theory – Informal set theories Symmetric...
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are not well defined in these cases. The MinHash min-wise independent permutations locality sensitive hashing scheme may be used to efficiently compute...
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D., et al. "Mash: fast genome and metagenome distance estimation using MinHash." Genome biology 17.1 (2016): 1-14. Bray, J. Roger; Curtis, J. T. (1957)...
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In computer science, consistent hashing is a special kind of hashing technique such that when a hash table is resized, only n / m {\displaystyle n/m} keys...
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neighbor algorithm Linear least squares Locality sensitive hashing Maximum inner-product search MinHash Multidimensional analysis Nearest-neighbor interpolation...
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sample sets. Bag-of-words model Concept mining k-mer MinHash N-gram Rabin fingerprint Rolling hash Vector space model Broder; Glassman; Manasse; Zweig...
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computing, universal hashing (in a randomized algorithm or data structure) refers to selecting a hash function at random from a family of hash functions with...
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Rendezvous or highest random weight (HRW) hashing is an algorithm that allows clients to achieve distributed agreement on a set of k {\displaystyle k}...
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approach using minhash. In this method, given a number k, a genomic sequence is transformed into a shorter sketch through a random hash function on the...
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processes can consist of dimensionality -reduction techniques, such as Minhash, and clusterization algorithms such as k-medoids and affinity propagation...
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Collocation Feature engineering Hidden Markov model Longest common substring MinHash n-tuple String kernel Bengio, Yoshua; Ducharme, Réjean; Vincent, Pascal;...
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[#] (read as "hash") is the second extended play by South Korean girl group Loona. It was released on February 5, 2020, by Blockberry Creative and distributed...
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set-intersection problem and "min-hashing" or to construct "sketches" of sets. This was a pioneering effort in the area of locality-sensitive hashing. In 1998, he co-invented...
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S2CID 196180156. Criscuolo A (November 2020). "On the transformation of MinHash-based uncorrected distances into proper evolutionary distances for phylogenetic...
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SHA-3 (category Cryptographic hash functions)
SHA-3 (Secure Hash Algorithm 3) is the latest member of the Secure Hash Algorithm family of standards, released by NIST on August 5, 2015. Although part...
51 KB (5,689 words) - 11:48, 1 September 2024