Open AccessEfficient spatio-temporal feature clustering for large event-based datasets
Author(s) -
Omar Oubari,
Georgios Exarchakis,
Gregor Lenz,
Ryad Benosman,
Sio-Hoï Ieng
Publication year - 2022
Publication title -
neuromorphic computing and engineering
Language(s) - Uncategorized
Resource type - Journals
ISSN - 2634-4386
DOI - 10.1088/2634-4386/ac970d
Subject(s) - computer science , cluster analysis , event (particle physics) , data mining , artificial intelligence , computational complexity theory , expectation–maximization algorithm , encode , pattern recognition (psychology) , feature (linguistics) , stability (learning theory) , process (computing) , machine learning , algorithm , mathematics , maximum likelihood , linguistics , gene , philosophy , chemistry , physics , biochemistry , operating system , statistics , quantum mechanics
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