Multi-feature fusionemotion recognitionresting-statemachine learningcluster analysisEEG signals.An important task ofbrain-computer interface (BCI) research is to read or decode mental content from a large number of electroencephalographic (EEG) signals, which is an exciting, attractive, and challenging ...
In this paper, we propose to learn multi-channel features from the EEG signal for human emotion recognition, where the EEG signal is generated by sound signal stimulation. Specifically, we apply multi-channel EEG and textual feature fusion in time-domain to recognize different human emotions, ...
To address this issue, we propose AMFF, an attention-based multi-feature fusion method for intention recognition. In this paper, we enrich short text features by fusing features extracted from frequency-inverse document frequency (TF-IDF), convolutional neural networks (CNNs) and long short-term...
Electroencephalography (EEG)-based emotion recognition has gained widespread attention recently. Although many deep learning methods have been proposed, it
Deep learning techniques have proven to be effective in solving the facial emotion recognition (FER) problem. However, it demands a significant amount of supervision data which is often unavailable due to privacy and ethical concerns. In this paper, we p
论文题目:Face Forgery Detection via Multi-Feature Fusion and Local Enhancement(基于多特征融合和局部增强的人脸伪造检测) 作者&团队:Dengyong Zhang, Jiahao Chen, Xin Liao, Feng Li, Jiaxin Chen, and Gaobo Yang a 长沙理工大学,计算机与通信工程学院,长沙 b 湖南大学,长沙 论文网址: Face Forgery Detection...
) multiple feature fusion 多特征融合 ) Multi-feature fusion 多特征融合 ) image feature fusion 图像特征融合 ... www.dictall.com|基于2个网页 例句 释义: 全部,多特征融合 更多例句筛选 1. A multi-feature fusion based method was presented for water hazard detection. 提出了一种基于图像多特征融合的...
including two sub-networks: a Temporal Alignment Network (TAN) fTAN and a Modulative Feature Fusion Network (MFFN) fMFFN . fTAN 接受参考框架 ILRt 和一个支撑框架 ILRt+i 作为输入,并将对应支撑框架的对齐特征 F~t+i 估计为,,然后,支撑框架的所有对齐特征连接为 ...
为了克服这些障碍,论文提出了一个基于行为的框架,称为多视角特征融合网络(Multi-view Feature Fusion Network, MFFN)。该框架模拟了人类在图像中寻找模糊物体的行为,即从多个角度、距离、视角进行观察。它背后的关键思想是通过数据增强生成多种观察方式(多视角),并将其应用于输入。
Facial expression recognition based on multi-scale feature fusion and attention mechanism[J]. Microelectronics & Computer, 2022, 39(3): 34-40. DOI: 10.19304/J.ISSN1000-7180.2021.0799 Citation: SHI Hao, XING Yuhang, CHEN Lian. Facial expression recognition based on multi-scale feature fusion ...