One of the major obstacles that has to be faced when applying automatic emotion recognition to realistic human-machine interaction systems is the scarcity of labeled data for training a robust model. Motivated by this concern. this paper seeks to utmost exploit unlabeled data that are pervasively available in the real-world and easy to be collected. by means of novel semi-supervised l... https://medicalwarehouses.shop/product-category/wheelchair-and-seat-cushions/
Leveraging Unlabeled Data for Emotion Recognition With Enhanced Collaborative Semi-Supervised Learning
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