A Parallel Multi-Modal Factorized Bilinear Pooling Fusion Method Based on the Semi-Tensor Product for Emotion Recognition

Multi-modal fusion can exploit complementary information from various modalities and improve the accuracy of prediction or classification tasks. In this paper, we propose a parallel, multi-modal, factorized, bilinear pooling method based on a semi-tensor product (STP) for information fusion in emoti...

Descripción completa

Detalles Bibliográficos
Autores principales: Liu, Fen, Chen, Jianfeng, Li, Kemeng, Tan, Weijie, Cai, Chang, Ayub, Muhammad Saad
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9777841/
https://www.ncbi.nlm.nih.gov/pubmed/36554241
http://dx.doi.org/10.3390/e24121836

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9777841/
https://www.ncbi.nlm.nih.gov/pubmed/36554241
http://dx.doi.org/10.3390/e24121836

Ejemplares similares