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Found 4 papers, 1 papers with code
A Efficient Multimodal Framework for Large Scale Emotion Recognition by Fusing Music and Electrodermal Activity Signals
In this paper, our work makes an attempt to fuse the subject individual EDA features and the external evoked music features.
Joint Generative Learning and Super-Resolution For Real-World Camera-Screen Degradation
Firstly, the downsampling degradation GAN(DD-GAN) is trained to model the degradation and produces more various of LR images, which is validated to be efficient for data augmentation.
User independent Emotion Recognition with Residual Signal-Image Network
To the best of author's knowledge, our method is the first attempt to classify large scale subject-independent emotion with 7962 pieces of EDA signals from 457 subjects.
A Novel Comprehensive Approach for Estimating Concept Semantic Similarity in WordNet
Based on analyzing representative IC computing methods and typical semantic similarity measures, we propose a new hybrid IC computing method.
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