Abstract: In the task of in-air handwriting recognition, millimeter-wave (mmWave) radar sensors offer advantages in low-power consumption, privacy protection, and robustness to environmental ...
Applying Center Loss to Neural Networks for Sequence Prediction: A Study for Handwriting Recognition
We propose a method to improve the overall accuracy of a neural network for predicting a sequence without using more training data nor adding more parameters. We apply a center loss at the sequence ...
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