Multimodal Feature Fusion Method for Unbalanced Sample Data in Social Network Public Opinion.

Zhao, Jian; Dong, Wenhua; Shi, Lijuan; Qiang, Wenqian; Kuang, Zhejun; Xu, Dawei; An, Tianbo

Zhao, Jian; Dong, Wenhua; Shi, Lijuan; Qiang, Wenqian; Kuang, Zhejun; Xu, Dawei; An, Tianbo.

Afiliación

Zhao J; School of Cyber Security, Changchun University, Changchun 130022, China.
Dong W; School of Computer Science and Technology, Changchun University, Changchun 130022, China.
Shi L; Jilin Provincial Key Laboratory of Human Health Status Identification and Function Enhancement, Changchun 130022, China.
Qiang W; School of Cyber Security, Changchun University, Changchun 130022, China.
Kuang Z; School of Computer Science and Technology, Changchun University, Changchun 130022, China.
Xu D; Jilin Provincial Key Laboratory of Human Health Status Identification and Function Enhancement, Changchun 130022, China.
An T; Jilin Provincial Key Laboratory of Human Health Status Identification and Function Enhancement, Changchun 130022, China.

Sensors (Basel) ; 22(15)2022 Jul 25.

Article en En | MEDLINE | ID: mdl-35898032

Asunto(s)

Opinión Pública; Voz; Emociones; Expresión Facial; Humanos; Red Social

Palabras clave

emotion features; feature generation; fine-grained; model fusion; multi-modality

Texto completo

Añadir a Mi BVS

Imprimir

XML

PubMed Links

Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Opinión Pública / Voz Tipo de estudio: Prognostic_studies Aspecto: Determinantes_sociais_saude Límite: Humans Idioma: En Revista: Sensors (Basel) Año: 2022 Tipo del documento: Article País de afiliación: China Pais de publicación: Suiza

Texto completo

Añadir a Mi BVS

Imprimir

XML

PubMed Links

Buscar en Google