Lshsim: A Locality Sensitive Hashing Based Method for Multiple-Point Geostatistics

doi 10.17771/pucrio.acad.32005
Full Text
Abstract

Available in full text

Date

Unknown

Authors
Publisher

Faculdades Catolicas

Related search

Instance-Based Matching of Large Ontologies Using Locality-Sensitive Hashing

Lecture Notes in Computer Science
Computer ScienceTheoretical Computer Science
2012English

Accelerating Large Scale Centroid-Based Clustering With Locality Sensitive Hashing

2016English

An Efficient Recommender System Using Locality Sensitive Hashing

2018English

Faster Sieving for Shortest Lattice Vectors Using Spherical Locality-Sensitive Hashing

Lecture Notes in Computer Science
Computer ScienceTheoretical Computer Science
2015English

Hierarchical Simulation of Multiple-Facies Reservoirs Using Multiple-Point Geostatistics

2005English

A Fast Online Learning Algorithm of Radial Basis Function Network With Locality Sensitive Hashing

Evolving Systems
ControlSystems EngineeringOptimizationSimulationComputer Science ApplicationsModeling
2016English

Efficient Query-By-Content Audio Retrieval by Locality Sensitive Hashing and Partial Sequence Comparison

IEICE Transactions on Information and Systems
Electronic EngineeringPattern RecognitionHardwareComputer VisionElectricalArchitectureArtificial IntelligenceSoftware
2008English

Neighbor-Sensitive Hashing

Proceedings of the VLDB Endowment
Computer Science
2015English

Short-Term Local Prediction of Wind Speed and Wind Power Based on Singular Spectrum Analysis and Locality-Sensitive Hashing

Journal of Modern Power Systems and Clean Energy
Renewable EnergyPower Technologythe EnvironmentSustainabilityEnergy Engineering
2018English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2024 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy