Open AccessSpatio-temporal information is not necessary for generating view-point invariant object recognition during unsupervised learning
Author(s) -
M. Tian,
Kalanit GrillSpector
Publication year - 2013
Publication title -
journal of vision
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.126
H-Index - 113
ISSN - 1534-7362
DOI - 10.1167/13.9.263
Subject(s) - artificial intelligence , cognitive neuroscience of visual object recognition , object (grammar) , invariant (physics) , pattern recognition (psychology) , computer science , unsupervised learning , representation (politics) , point (geometry) , computer vision , communication , psychology , mathematics , geometry , politics , political science , law , mathematical physics
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