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Favorite Video Estimation Based on Multiview Feature Integration via KMvLFDA

This paper presents a novel method for favorite video estimation based on multiview feature integration via kernel multiview local fisher discriminant analysis (KMvLFDA). The proposed method first extracts electroencephalogram (EEG) features from users' EEG signals recorded while watching videos and...

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I tiakina i:
Ngā taipitopito rārangi puna kōrero
Ngā kaituhi matua: Akira Toyoda, Takahiro Ogawa, Miki Haseyama
Hōputu: Artigo
Reo:Inglês
I whakaputaina: IEEE 2018-01-01
Rangatū:IEEE Access
Ngā marau:
Urunga tuihono:https://ieeexplore.ieee.org/document/8494731/
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