Results 61 to 70 of about 325,256 (164)

COMPUTATION OF IMAGE SIMILARITY WITH TIME SERIES [PDF]

ICTACT Journal on Image and Video Processing, 2011
Searching for similar sequence in large database is an important task in temporal data mining. Similarity search is concerned with efficiently locating subsequences or whole sequences in large archives of sequences.
V. Balamurugan, K. Senthamarai Kannan, S. Selvakumar   +2 more
doaj  

Metapaths: similarity search in heterogeneous knowledge graphs via meta-paths. [PDF]

Bioinformatics, 2023
Noori A, Li MM, Tan ALM, Zitnik M.
europepmc   +1 more source

Repurposing Drugs for Inhibition against ALDH2 via a 2D/3D Ligand-Based Similarity Search and Molecular Simulation. [PDF]

Molecules, 2023
Jiang W, Chen J, Zhang P, Zheng N, Ma L, Zhang Y, Zhang H.   +6 more
europepmc   +1 more source

Fragment Merging Using a Graph Database Samples Different Catalogue Space than Similarity Search. [PDF]

J Chem Inf Model, 2023
Wills S, Sanchez-Garcia R, Dudgeon T, Roughley SD, Merritt A, Hubbard RE, Davidson J, von Delft F, Deane CM.   +8 more
europepmc   +1 more source

similarity searching

Citation: 'similarity searching' in the IUPAC Compendium of Chemical Terminology, 5th ed.; International Union of Pure and Applied Chemistry; 2025. Online version 5.0.0, 2025. 10.1351/goldbook.11512 • License: The IUPAC Gold Book is licensed under Creative Commons Attribution-ShareAlike CC BY-SA 4.0 International for individual terms.
openaire   +1 more source

Structural Generalizability: The Case of Similarity Search. [PDF]

Proc ACM SIGMOD Int Conf Manag Data, 2021
Chodpathumwan Y, Shresta A, Termehchy A, Glen A, Ramsey SA, Liu Z.   +5 more
europepmc   +1 more source

A unified benchmarking framework for vector databases in scalable embedding-based image retrieval systems

Frontiers in Computer Science
Modern image retrieval and similarity search systems rely on high-dimensional embeddings that are produced by deep neural networks. To store and query these embeddings, vector databases are used.
Somula Ramasubbareddy, S. Remya, Sathishkumar Veerappampalayam Easwaramoorthy, Gaddam A. Sanjeeva Reddy, Yong Yun Cho, Manu J. Pillai   +5 more
doaj   +1 more source

Large scale similarity search across digital reconstructions of neural morphology. [PDF]

Neurosci Res, 2022
Ljungquist B, Akram MA, Ascoli GA.
europepmc   +1 more source

Algorithms for Similarity Search and Pseudorandomness

CoRR, 2019
We study the problem of approximate near neighbor (ANN) search and show the following results: - An improved framework for solving the ANN problem using locality-sensitive hashing, reducing the number of evaluations of locality-sensitive hash functions and the word-RAM complexity compared to the standard framework.
openaire   +2 more sources

Experimentally validated memristive memory augmented neural network with efficient hashing and similarity search. [PDF]

Nat Commun, 2022
Mao R, Wen B, Kazemi A, Zhao Y, Laguna AF, Lin R, Wong N, Niemier M, Hu XS, Sheng X, Graves CE, Strachan JP, Li C.   +12 more
europepmc   +1 more source