… similarity between classes in facial emotion image recognition, we use the angular distance
loss function to improve the … The calculation equation of angular distance loss is as follows: …

… a distance loss which is based on the relative distance between same and different class
pairs. Such loss can … The application of distance between different emotion classes can be a …

… While speech to text and speaker ID have addressed the effect of distance with mixed
results, distant-emotion-recognition (DER) is an area not previously explored to the best of our …

… with triplet loss and supervised loss simultaneously. The triplet loss makes intraclass distance
… We demonstrate promise of triplet framework for speech emotion recognition and present …

… The findings demonstrate the success of the ShoePat23 on speech emotion recognition.
Moreover, this model has been used in the distance education system to detect the …

… LG is the loss function for positive pairs and LI is the loss function for … the distance of positive
pairs and increase the distance of negative pairs. In this paper, we test two contrastive loss …

… the semantics of emotion categories … emotions of similar semantic distance when observing
images. Considering the semantic distance of emotion categories, that is, far or near distance …

… distance constraint is necessary for overall correlation loss. We explore different loss functions
including: 1) we use mse as distance … -cov) as the overall correlation loss. 2) we use mse/(…

… distance education system to trace the emotion of … ’ emotion feedback information primarily,
thus emotion compensation is realized. Emotion Recognition module: emotion recognition …

… Embedding is learnt from the emotional information of speech … -loss functions. The similarity
between various types of emotions is determined by computing the cosine distance between …