LSHSIM: A LOCALITY SENSITIVE HASHING BASED METHOD FOR MULTIPLE-POINT GEOSTATISTICS
Author(s) -
PEDRO NUNO DE SOUZA MOURA
Publication year - 2017
Language(s) - English
Resource type - Dissertations/theses
DOI - 10.17771/pucrio.acad.32005
Subject(s) - locality sensitive hashing , computer science , categorical variable , similarity (geometry) , hash function , data mining , point (geometry) , geostatistics , encoding (memory) , representation (politics) , process (computing) , locality , autoencoder , algorithm , image (mathematics) , artificial intelligence , machine learning , hash table , mathematics , artificial neural network , statistics , spatial variability , linguistics , philosophy , geometry , computer security , politics , political science , law , operating system
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