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Found 4 papers, 0 papers with code
Exploring Multimodal Sentiment Analysis via CBAM Attention and Double-layer BiLSTM Architecture
To remove redundant information and make the network pay more attention to the correlation between image and text features, CNN and CBAM attention are added after splicing text features and picture features, to improve the feature representation ability.
Exploring Turkish Speech Recognition via Hybrid CTC/Attention Architecture and Multi-feature Fusion Network
The results show that the WER of the proposed feature fusion network based on LSPC is improved by 0. 82% and 1. 94% again compared with the single feature (Fbank feature and Spectrogram feature) extraction using LSPC.
Multi-view learning with privileged weighted twin support vector machine
Multi-view learning (MVL) is a newly developing direction of machine learning, which focuses on learning acquiring information from the data indicated by multiple feature sets.
Automated classification of stems and leaves of potted plants based on point cloud data
A classification method was proposed to classify the leaves and stems of potted plants automatically based on the point cloud data of the plants, which is a nondestructive acquisition.
