Addressing the problems of data-centric physiology-affect relations modeling

Data-centric affect modeling may render itself restrictive in practical applications for three reasons, namely, it falls short of feature optimization, infers discrete affect classes, and deals with relatively small to average sized datasets. Though it seems practical to use the feature combinations...

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Bibliographic Details
Main Authors: Legaspi, Roberto S., Fukui, Ken Ichi, Moriyama, Koichi, Kurihara, Satoshi, Numao, Masayuki, Suarez, Merlin Teodosia C.
Format: text
Published: Animo Repository 2010
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Online Access:https://animorepository.dlsu.edu.ph/faculty_research/1464
https://animorepository.dlsu.edu.ph/context/faculty_research/article/2463/type/native/viewcontent
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Institution: De La Salle University

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