WP2.L303.3
MULTI-VIEW VARIATIONAL RECURRENT NEURAL NETWORK FOR HUMAN EMOTION RECOGNITION USING MULTI-MODAL BIOLOGICAL SIGNALS
Yuya Moroto, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama, Hokkaido University, Japan
Session:
WP2.L303: Machine Learning for Multidimensional Signal Processing Lecture
Track:
Applications of Machine Learning
Location:
Room 303
Presentation Time:
Wed, 11 Oct, 17:06 - 17:24 Malaysia Time (UTC +8)
Session Chair:
Jakub Nalepa, Silesian University of Technology, Poland
Session WP2.L303
WP2.L303.1: TRANSFORMING MULTIDIMENSIONAL DATA INTO IMAGES TO OVERCOME THE CURSE OF DIMENSIONALITY
Rebecca Leygonie, Sylvain Lobry, Guillaume Vimont, Laurent Wendling, Université Paris Cité, France
WP2.L303.2: PREFAB-GEN : AD HOC IMAGE GENERATION FOR PRE-MANUFACTURING OF TIRES USING IMAGE-TO-IMAGE TRANSLATION
Guillaume Déau, Pascal Bourdon, Philippe Carré, Université de Poitiers, France; Stéphane Merillou, Université de Limoges, France; Alexandre Dervillé, François Mourougaya, Manufacture française des pneumatiques Michelin, France
WP2.L303.3: MULTI-VIEW VARIATIONAL RECURRENT NEURAL NETWORK FOR HUMAN EMOTION RECOGNITION USING MULTI-MODAL BIOLOGICAL SIGNALS
Yuya Moroto, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama, Hokkaido University, Japan
WP2.L303.4: FEATURE INTEGRATION VIA BACK-PROJECTION ORDERING MULTI-MODAL GAUSSIAN PROCESS LATENT VARIABLE MODEL FOR RATING PREDICTION
Kyohei Kamikawa, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama, Hokkaido University, Japan
WP2.L303.5: MULTIVARIATE TIME SERIES IMPUTATION WITH TRANSFORMERS
Yarkin Yildiz, Emirhan Koc, Aykut Koc, Bilkent University, Turkey
Contacts