Open AccessImportant feature identification for perceptual sex of point-light walkers using supervised machine learning
Author(s) -
Chihiro Asanoi,
Koichi Oda
Publication year - 2022
Publication title -
journal of vision
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.126
H-Index - 113
ISSN - 1534-7362
DOI - 10.1167/jov.22.12.10
Subject(s) - support vector machine , artificial intelligence , feature (linguistics) , biological motion , perception , machine learning , computer science , pattern recognition (psychology) , feature vector , point (geometry) , identification (biology) , motion (physics) , mathematics , psychology , biology , philosophy , linguistics , botany , geometry , neuroscience
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