STP-MFM: Semi-tensor product-based multi-modal factorized multilinear pooling for information fusion in sentiment analysis
Authors:
- Fen LiuFLFen Liu
- Jianfeng ChenJCJianfeng Chen
- Kemeng LiKLKemeng Li
- Jisheng BaiJBJisheng Bai
- Weijie TanWTWeijie Tan
- Chang CaiCCChang Cai
- Muhammad Saad AyubMAMuhammad Saad Ayub
- 31 October 2023
- journal article
- research article
- Published by Elsevier in Digital Signal Processing
- Vol. 145
Abstract
No abstract availableKeywords
Funding Information
- Natural Science Foundation of Shaanxi Province (2020JM-554)
- National Natural Science Foundation of China
This publication has 28 references indexed in Scilit:
- A Novel Digital Watermarking Based on General Non-Negative Matrix FactorizationIEEE Transactions on Multimedia, 2018
- A Novel Error-Compensation Control for a Class of High-Order Nonlinear Systems With Input DelayIEEE Transactions on Neural Networks and Learning Systems, 2017
- Beyond Pairwise Matching: Person Reidentification via High-Order Relevance LearningIEEE Transactions on Neural Networks and Learning Systems, 2017
- Multimedia classification and event detection using double fusionMultimedia Tools and Applications, 2013
- A Linear Representation of Dynamics of Boolean NetworksIEEE Transactions on Automatic Control, 2010
- Multimodal emotion recognition in speech-based interaction using facial expression, body gesture and acoustic analysisJournal on Multimodal User Interfaces, 2009
- IEMOCAP: interactive emotional dyadic motion capture databaseLanguage Resources and Evaluation, 2008
- Audio–Visual Affective Expression Recognition Through Multistream Fused HMMIEEE Transactions on Multimedia, 2008
- Reducing the Dimensionality of Data with Neural NetworksScience, 2006
- Some Mathematical Notes on Three-Mode Factor AnalysisPsychometrika, 1966