Efficient locality-sensitive hashing over high-dimensional streaming data
Sign Up to like & getrecommendations! Published in 2020 at "Neural Computing and Applications"
DOI: 10.1007/s00521-020-05336-1
Abstract: Approximate nearest neighbor (ANN) search in high-dimensional spaces is fundamental in many applications. Locality-sensitive hashing (LSH) is a well-known methodology to solve the ANN problem. Existing LSH-based ANN solutions typically employ a large number of… read more here.
Keywords: streaming data; sensitive hashing; dimensional streaming; high dimensional ... See more keywords
Use of locality sensitive hashing (LSH) algorithm to match Web of Science and Scopus
Sign Up to like & getrecommendations! Published in 2017 at "Scientometrics"
DOI: 10.1007/s11192-017-2569-6
Abstract: A novel hashing algorithm is applied to match two prominent and important bibliographic databases at the paper level. In the literature, such tasks have been studied and conducted many times, but relying only on journal… read more here.
Keywords: locality sensitive; match; sensitive hashing; web science ... See more keywords
Quantifying object similarity: Applying locality sensitive hashing for comparing material culture
Sign Up to like & getrecommendations! Published in 2020 at "Journal of Archaeological Science"
DOI: 10.1016/j.jas.2020.105257
Abstract: We present a novel technique that compares and quantifies images used here to compare similarities between material cultures. This method is based on locality sensitive hashing (LSH), which uses a relatively fast and flexible algorithm… read more here.
Keywords: sensitive hashing; similarity; locality sensitive; object similarity ... See more keywords
Locality-Sensitive Hashing-Based k-Mer Clustering for Identification of Differential Microbial Markers Related to Host Phenotype
Sign Up to like & getrecommendations! Published in 2022 at "Journal of Computational Biology"
DOI: 10.1089/cmb.2021.0640
Abstract: Microbial organisms play important roles in many aspects of human health and diseases. Encouraged by the numerous studies that show the association between microbiomes and human diseases, computational and machine learning methods have been recently… read more here.
Keywords: host phenotype; locality sensitive; sensitive hashing; host ... See more keywords
Semi-U-Net: A Lightweight Deep Neural Network for Subject-Sensitive Hashing of HRRS Images
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Access"
DOI: 10.1109/access.2021.3074055
Abstract: As a special case of perceptual hashing algorithm, subject-sensitive hashing can realize “subject-biased” integrity authentication of high resolution remote sensing (HRRS) images, which overcomes the deficiencies of existing integrity authentication technologies. However, the existing deep… read more here.
Keywords: sensitive hashing; hashing; subject sensitive; model ... See more keywords
In Defense of Locality-Sensitive Hashing
Sign Up to like & getrecommendations! Published in 2018 at "IEEE Transactions on Neural Networks and Learning Systems"
DOI: 10.1109/tnnls.2016.2615085
Abstract: Hashing-based semantic similarity search is becoming increasingly important for building large-scale content-based retrieval system. The state-of-the-art supervised hashing techniques use flexible two-step strategy to learn hash functions. The first step learns binary codes for training… read more here.
Keywords: locality sensitive; locality; sensitive hashing; two step ... See more keywords
A New Subject-Sensitive Hashing Algorithm Based on MultiRes-RCF for Blockchains of HRRS Images
Sign Up to like & getrecommendations! Published in 2022 at "Algorithms"
DOI: 10.3390/a15060213
Abstract: Aiming at the deficiency that blockchain technology is too sensitive to the binary-level changes of high resolution remote sensing (HRRS) images, we propose a new subject-sensitive hashing algorithm specially for HRRS image blockchains. To implement… read more here.
Keywords: hashing algorithm; subject sensitive; sensitive hashing; multires rcf ... See more keywords