Local binary patterns for noise-tolerant sEMG classification.
Sayed Mohamad TabatabaeiAbdolah ChalechalePublished in: Signal Image Video Process. (2019)
Keyphrases
- noise tolerant
- local binary pattern
- feature extraction
- texture classification
- classification accuracy
- texture analysis
- spatial information
- noisy data
- machine learning
- feature vectors
- training set
- pattern recognition
- face recognition
- supervised learning
- feature space
- multiresolution
- multiscale
- similarity measure
- texture features
- text classification
- active learning
- training samples
- unsupervised learning
- upper bound
- support vector machine
- object recognition
- support vector
- training data
- learning algorithm