Results 71 to 80 of about 29,958 (160)

Confirmation sampling for exact nearest neighbor search [PDF]

, 2020
Locality-sensitive hashing (LSH), introduced by Indyk and Motwani in STOC ’98, has been an extremely influential framework for nearest neighbor search in high-dimensional data sets. While theoretical work has focused on the approximate nearest neighbor problem, in practice LSH data structures with suitably chosen parameters are used to solve the exact ...
Christiani, Tobias Lybecker, Pagh, Rasmus, Thorup, Mikkel   +2 more
openaire   +1 more source

NNG-Based Secure Approximate k-Nearest Neighbor Query for Large Language Models

Mathematics
Large language models (LLMs) have driven transformative progress in artificial intelligence, yet critical challenges persist in data management and privacy protection during model deployment and training.
Heng Zhou, Yuchao Wang, Yi Qiao, Jin Huang   +3 more
doaj   +1 more source

Boosting the accuracy of protein secondary structure prediction through nearest neighbor search and method hybridization. [PDF]

Bioinformatics, 2020
Krieger S, Kececioglu J.
europepmc   +1 more source

Approximate nearest neighbor hybrid query algorithm based on tolerance factor

大数据
Approximate nearest neighbor search (ANNS) is an important technique in the field of computer science for efficient similarity search, enabling fast information retrieval in large-scale datasets.With the increasing demand for high-precision information ...
Guangfu HE, Yuanhai XUE, Cuiting CHEN, Xiaoming YU, Xinran LIU, Xueqi CHENG   +5 more
doaj  

Nearest neighbor search algorithm for high dimensional data based on weighted self-taught hashing

Dianxin kexue, 2017
Because of efficiency in query and storage,learning hash is applied in solving the nearest neighbor search problem.The learning hash usually converts high-dimensional data into binary codes.In this way,the similarities between binary codes from two ...
Cong PENG, Jiangbo QIAN, Huahui CHEN, Yihong DONG   +3 more
doaj   +2 more sources

Bagging Nearest Neighbor and its Enhancement for Machinery Predictive Maintenance

Journal of Applied Informatics and Computing
K-nearest Neighbor is a simple algorithm in Machine learning for such a prediction classification task which plays in valuable aspects of understanding big data.
Muhammad Irfan Arisani, Muljono Muljono
doaj   +1 more source

Improved Kd-tree Particle Nearest Neighbor Search Based on Automatic Termination Criterion

工程科学与技术
Objective In large-scale motion simulation problems, the search efficiency for nearest neighbor points critically influences the overall operational efficiency.
Ting ZHANG, Zongkai WANG, Zhenhuan LIN, Xianghan ZHENG   +3 more
doaj  

Telescope indexing for k-nearest neighbor search algorithms over high dimensional data & large data sets. [PDF]

Sci Rep
K R M, Kurban H, Kulekci OM, Dalkilic MM.   +3 more
europepmc   +1 more source

scSpecies: enhancement of network architecture alignment in comparative single-cell studies. [PDF]

Genome Biol
Schächter C, Hackenberg M, Treppner M, Raum H, Bödecker J, Binder H.   +5 more
europepmc   +1 more source

A Novel Method of Path Planning for an Intelligent Agent Based on an Improved RRT* Called KDB-RRT. [PDF]

Sensors (Basel)
Wei W, Wei K, Zhang J.
europepmc   +1 more source