In computer science, locality-sensitive hashing (LSH) is a fuzzy hashing technique that hashes similar input items into the same "buckets" with high probability...

Nilsimsa Hash is an anti-spam focused locality-sensitive hashing algorithm. ssdeep is a fuzzy hashing tool based on context-piecewise triggered hashing to compare...

k-nearest neighbor algorithm Linear least squares Locality sensitive hashing Maximum inner-product search MinHash Multidimensional analysis Nearest-neighbor...

performed. A popular approach for similarity search is locality sensitive hashing (LSH). It hashes input items so that similar items map to the same "buckets"...

type of locality-sensitive hash, which is analogous if features of the multimedia are similar. This is in contrast to cryptographic hashing, which relies...

type of locality-sensitive hash, which is analogous if features of the multimedia are similar. This is in contrast to cryptographic hashing, which relies...

computer science and data mining, MinHash (or the min-wise independent permutations locality sensitive hashing scheme) is a technique for quickly estimating...

order Scalable locality Scratchpad memory Working set Heuristic Locality-sensitive hashing Not to be confused with the principle of locality o=s*v=411##sts...

Nilsimsa is an anti-spam focused locality-sensitive hashing algorithm originally proposed the cmeclax remailer operator in 2001 and then reviewed by Ernesto...

approximate k-nearest neighbor searches have been proposed, such as locality-sensitive hashing (LSH) and product quantization (PQ) that trade performance for...

lemma Latent semantic analysis Local tangent space alignment Locality-sensitive hashing MinHash Multifactor dimensionality reduction Nearest neighbor search...

In machine learning, feature hashing, also known as the hashing trick (by analogy to the kernel trick), is a fast and space-efficient way of vectorizing...

Widely used algorithms are based on filter-verification, hashing, Locality-sensitive hashing (LSH), Tries and other greedy and approximation algorithms...

type of locality-sensitive hash, which is analogous if features of the multimedia are similar. This is in contrast to cryptographic hashing, which relies...

Hunt–Szymanski algorithm Jaccard index Jaro–Winkler distance Locality-sensitive hashing Longest common subsequence problem Lucene (an open source search...

O(N^{2})} to O ( N ln ⁡ N ) {\displaystyle O(N\ln N)} by using locality-sensitive hashing and reversible layers. Sparse attention uses attention graphs...

and LSH for Google News personalization. MinHash w-shingling Count–min sketch Locality-sensitive hashing Cyphers, Bennett (2021-03-03). "Google's FLoC...

appearing somewhat grammatical. Cryptographic hash function Bayesian poisoning Locality-sensitive hashing Delio, Michelle (13 January 2004). "Random Acts...

double hashing and triple hashing, variants of double hashing that are effectively simple random number generators seeded with the two or three hash values...

can be described more technically as a distance function for locality-sensitive hashing.[citation needed] It is possible to build an architecture that...

collision between distinct but similar data, using techniques like locality-sensitive hashing. Checksums, on the other hand, are designed to minimize the probability...

Hilbert curve. Hilbert curve scheduling Hilbert R-tree Locality of reference Locality-sensitive hashing Moore curve Murray polygon Sierpiński curve List of...

along with Andrei Broder and Piotr Indyk for their research on locality-sensitive hashing. Gurmeet Singh, Manku; Jain, Arvind; Das Sarma, Anish (2007),...

navigable small world) HNSW and Navigating Spread-out Graph (NSG) Locality-sensitive hashing (LSH) The following families of vector quantization methods are...

vectors include: Hierarchical Navigable Small World (HNSW) graphs Locality-sensitive Hashing (LSH) and Sketching Product Quantization (PQ) Inverted Files and...

solving (1+ε)-approximate nearest neighbor search include kd-trees, Locality Sensitive Hashing and brute force search. Arya, Sunil; Mount, David M. (1993). "Approximate...

Microsoft Research, known for her work on algorithmic game theory and locality-sensitive hashing. Immorlica completed her Ph.D. in 2005 at the Massachusetts Institute...

("confetti") to image content (see image spam). Bloom filter Hash buster Locality-sensitive hashing Hash Filter algorithm (SQL Anywhere Server - SQL Usage) Archived...

indexing Linear least squares List of Fourier-related transforms Locality-sensitive hashing Low-rank approximation Matrix decomposition Multilinear principal...

detectors Comparison of anti-plagiarism software Locality-sensitive hashing – Algorithmic technique using hashing Nearest neighbor search – Optimization problem...