Multimodal deep learning approach for joint EEG-EMG data compression and classification.
Ahmed Ben SaidAmr MohamedTarek ElfoulyKhaled A. HarrasZ. Jane WangPublished in: CoRR (2017)
Keyphrases
- data compression
- deep learning
- data reduction
- unsupervised learning
- machine learning
- classification accuracy
- eeg signals
- restricted boltzmann machine
- feature selection
- feature vectors
- supervised learning
- feature extraction
- compression algorithm
- lossless data compression
- image classification
- feature space
- support vector
- decision trees
- compressed data
- computer vision
- unsupervised feature learning
- generative model
- training set
- data sets